wherein I is_f I_e Representation I_f To I_e Straight line between, K (I_d I_f )、K(I_d I_e ) And K (I)_f I_e ) Respectively represent straight lines I_d I_f Straight line I_d I_e And straight line I_f I_e Is a length of (2);

step S303: in straight line I_f I_e Mid-point to I_d The connecting straight line is a rotating shaft, and the two-dimensional fan shape is rotated for one circle according to the two-dimensional fan shape angle to form a cone; respectively by I_d Pointing I_e Direction and I_d Pointing I_f Extending the two-dimensional fan-shaped direction to form a cone extending range, and taking the cone extending range as the unmanned plane I_d Is used for adjusting the transmission parameters of an interference source and aiming at the unmanned plane I_d Is limited by the coverage range of the interference signals, and the unmanned plane I after the limitation is carried out_d Is recorded as unmanned plane I_d Is a real interference signal coverage area;

step S304: and acquiring real interference signal coverage areas of all unmanned aerial vehicles on an outer surrounding surface in the maximum connection outer surrounding perspective view, constructing a unmanned aerial vehicle networking cooperative interference safety communication dynamic area model, and recording the superposition coverage areas of the real interference signal coverage areas of all unmanned aerial vehicles as a safety communication dynamic area.

According to the method, the instruction area is an area directly receiving task scheduling, the situation of the instruction area is the most tense and the most changeable, and the safety communication of the instruction area needs to be enhanced and protected to ensure the completion of the task; in the instruction area, the target node directly receives task allocation, and then a maximum safe communication dynamic area is constructed according to the position information of the target node, the working parameters of the interference source are adjusted to form a real interference signal coverage area, and the safe communication dynamic area can be flexibly adjusted by flexibly adjusting the parameters;

Further, the specific implementation process of the step S400 includes:

step S401: identifying the number of unmanned aerial vehicles in a safe communication dynamic area, and determining the number of unmanned aerial vehicles participating in a temporary task according to the temporary task requirement; if the number of unmanned aerial vehicles in the safe communication dynamic area is greater than or equal to the number of unmanned aerial vehicles participating in the temporary task, keeping t₁ From time to t₂ The unmanned aerial vehicle network air area position array type between the moments, otherwise, dynamically scheduling all unmanned aerial vehicles in the single dispatch air area;

step S402: when in dynamic scheduling, determining the lack of unmanned aerial vehicles participating in the temporary task according to the number of unmanned aerial vehicles in the safe communication dynamic area and the number of unmanned aerial vehicles participating in the temporary task, wherein the number of unmanned aerial vehicles in the dynamic scheduling is equal to the lack; starting a first dynamic scheduling decision, scheduling the areas except the safe communication dynamic area in the instruction area, determining the scheduling number of the unmanned aerial vehicle in the instruction area, and starting a second dynamic scheduling decision if the scheduling number does not meet the requirement of the lack of the number; when a second dynamic scheduling decision is started, scheduling unmanned aerial vehicles in a non-instruction area, and collecting U according to the number of the non-instruction area₂ Determining the scheduling number of the unmanned aerial vehicles in the non-instruction area, wherein the scheduling number of the unmanned aerial vehicles in the non-instruction area is equal to the lack numberThe difference between the amount and the number of unmanned aerial vehicle schedules in the instruction area;

step S403: when a first dynamic scheduling decision is started and a second dynamic scheduling decision is started to schedule the unmanned aerial vehicle, the unmanned aerial vehicle networking communication link dynamic connection relation of the instruction area and the unmanned aerial vehicle networking communication link dynamic connection relation of the non-instruction area are called V, any one unmanned aerial vehicle networking communication link dynamic connection relation participating in scheduling in the unmanned aerial vehicle networking communication link dynamic connection relation of the instruction area and the unmanned aerial vehicle networking communication link dynamic connection relation of the non-instruction area is called I, and any one unmanned aerial vehicle participating in scheduling in the V is called V_y Wherein y is the number of the unmanned aerial vehicle, and the dynamic scheduling influence value is calculated according to the following specific calculation formula:

wherein H (V) represents a dynamic scheduling impact value of V, P_V Representing a set of unmanned aerial vehicles participating in scheduling in V, R (P_V ) Representing P_V The number of elements, R (V) represents the total number of unmanned aerial vehicles in V, S (I)_y ) Representation I_y Distance to the center point of the dynamic area of the secure communication;

calculating dynamic scheduling influence values of all the unmanned aerial vehicle networking communication links in the instruction area and all the unmanned aerial vehicle networking communication links in the non-instruction area respectively, arranging the dynamic scheduling influence values in sequence from small to large, and selecting and scheduling in sequence according to the arrangement during dynamic scheduling until the shortage is met;

Once the safe communication dynamic area is formed, the integrity of the array type is ensured to the maximum degree when the unmanned aerial vehicle is scheduled according to the temporary task requirement so as to cope with changeable air situations; the integrity of the array is ensured to the maximum extent, two dimensions of the integrity of the dynamic connection relation of the communication link of the unmanned aerial vehicle network and the scheduling distance are considered, and the integrity of the dynamic connection relation of the communication link of the unmanned aerial vehicle network is ensured while the fastest scheduling is ensured according to the scheduling distance; the larger the dynamic scheduling impact value is, the greater the damage degree to the integrity is when the temporary task is completed, and the more threat risks are further existing.

Compared with the prior art, the invention has the following beneficial effects: according to the unmanned aerial vehicle safety communication system and method based on cooperative interference, all unmanned aerial vehicle position information of a single dispatch air area is tracked in real time, so that the single dispatch air area is dynamically divided into an instruction area and a non-instruction area, and the situation of the instruction requirement of the unmanned aerial vehicle position dynamic change and the change at any time is met; carrying out radar communication link node division on the unmanned aerial vehicle, searching for communication link relation, and constructing a communication link dynamic model of the unmanned aerial vehicle network, so as to form a dynamic link relation and strengthen the persistence of a dynamic data link interference array; constructing a unmanned aerial vehicle networking cooperative interference safe communication dynamic area model, and generating a safe communication dynamic area to cope with changeable air situations and strengthen the protection of communication transmission; and then, all unmanned aerial vehicles in the single dispatch air area are dynamically scheduled to form a maximized safe maneuvering area, the fastest scheduling is ensured, meanwhile, the integrity of the dynamic connection relation of the communication links of the unmanned aerial vehicle networking is ensured to the greatest extent, and the threat risk is reduced.

Drawings

The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:

fig. 1 is a schematic structural diagram of a cooperative interference-based unmanned aerial vehicle secure communication system of the present invention;

fig. 2 is a schematic step diagram of a method for secure communication of unmanned aerial vehicle based on cooperative interference.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Referring to fig. 1-2, the present invention provides the following technical solutions:

referring to fig. 1, in a first embodiment: provided is a cooperative interference-based unmanned aerial vehicle secure communication system, comprising: the system comprises a dual-dynamic region construction module, an unmanned aerial vehicle networking communication link dynamic identification module, a safety communication dynamic region model construction module and an unmanned aerial vehicle dynamic cooperation module;

The double-dynamic-area construction module acquires the position information of all unmanned aerial vehicles in the single dispatch air area, tracks the position information of all unmanned aerial vehicles in the single dispatch air area in real time, performs dynamic area division on the single dispatch air area, generates a double-dynamic-area set on the basis of a dynamic area division result, and comprises an instruction area and a non-instruction area;

the double dynamic region construction module further comprises an air region dynamic dividing unit and a double dynamic region set generating unit;

the aerial region dynamic dividing unit is used for carrying out real-time tracking on the position information of all unmanned aerial vehicles in the single dispatch aerial region to form real-time dynamic position tracking information of each unmanned aerial vehicle, carrying out dynamic region division on the single dispatch aerial region according to the real-time dynamic position tracking information of each unmanned aerial vehicle, determining the number of unmanned aerial vehicles in an instruction region in the single dispatch aerial region and the number of unmanned aerial vehicles in a non-instruction region in the single dispatch aerial region, wherein the single dispatch aerial region is the whole aerial region of the single dispatch task, the instruction region is a temporary dispatch local aerial region in the whole aerial region of the single dispatch task, and the non-instruction region is a local aerial region except the instruction region in the whole aerial region of the single dispatch task;

The double-dynamic-area set generating unit generates unified numbering information for all unmanned aerial vehicles in a single dispatch air area according to the number of unmanned aerial vehicles in the instruction area and the number of unmanned aerial vehicles in the non-instruction areaThe unmanned aerial vehicle in the instruction area is subjected to number information extraction according to the unified number information, and a number set of the generated instruction area is marked as U₁ The unmanned aerial vehicle in the non-instruction area is subjected to number information extraction, and a non-instruction area number set is generated and marked as U₂ ；

The unmanned aerial vehicle networking communication link dynamic identification module is used for carrying out radar communication link node division on all unmanned aerial vehicles in the single dispatch air area, constructing an unmanned aerial vehicle networking communication link dynamic model based on a radar communication link node division result, and carrying out networking communication link dynamic identification on all unmanned aerial vehicles in the single dispatch air area;

the unmanned aerial vehicle networking communication link dynamic identification module further comprises a node dynamic adjustment determination unit and an unmanned aerial vehicle networking communication link dynamic model construction unit;

the node dynamic adjustment determining unit regards each unmanned aerial vehicle in the single dispatch empty area as a radar communication link node, and the radar communication link node comprises a source node, a relay node and a target node, wherein the source node, the relay node and the target node are determined according to t₁ From time to t₂ The temporary task requirements between the moments are dynamically adjusted and determined, a source node is a radar communication transmitting source, a target node is a radar communication receiving source, a relay node receives radar communication transmitting information of the source node and sends the received radar communication transmitting information of the source node to the target node;

the dynamic adjustment determination is performed in the following manner:

the unmanned aerial vehicle network communication link dynamic model building unit builds an unmanned aerial vehicle network communication link dynamic model, and t is set for all unmanned aerial vehicles in a single dispatch empty area₁ From time to t₂ The dynamic adjustment and determination are carried out between moments, radar communication links are combed, an unmanned aerial vehicle networking communication link dynamic connection relationship is formed, the unmanned aerial vehicle networking communication link dynamic connection relationship comprises a direct communication connection relationship and an indirect communication connection relationship, and the direct communication connection relationship is expressed as I_a →I_b Wherein I_a And I_b The indirect communication connection relationship is expressed as I_a →I₁ →I_a →...→I_c →I_b Wherein I₁ 、I_a 、...、I_c The first relay node and the second relay node are respectively 1 st, 2 nd, c relay nodes, a not equal to b not equal to c, and c represents unmanned aerial vehicle numbers; according to the dynamic connection relation of the unmanned aerial vehicle networking communication links, carrying out networking communication link dynamic identification on all unmanned aerial vehicles in a single dispatch air area;

the safety communication dynamic region model building module is used for building a unmanned aerial vehicle networking cooperation interference safety communication dynamic region model based on a networking communication link dynamic identification result to generate a safety communication dynamic region;

the safe communication dynamic region model building module further comprises a real interference signal coverage range acquisition unit and a safe communication dynamic region generation unit;

the real interference signal coverage area acquisition unit splits all radar communication link nodes in the single dispatch empty area and extracts target nodes based on a dynamic identification result of the networking communication link, and the extracted target nodes generate a target node set M; according to the instruction area number set and the target node set, t is calculated in the instruction area₁ From time to t₂ The unmanned aerial vehicle with temporary task assignment between moments is required to be identified, and temporary task is generatedAssign unmanned set, note L, and l=u₁ N is M; constructing a three-dimensional coordinate system of a single dispatch aerial region, performing point-to-point linear connection on all unmanned aerial vehicles in a temporary assignment unmanned aerial vehicle set according to real-time dynamic position tracking information of the unmanned aerial vehicles, forming a maximum connection outer surrounding stereogram of the unmanned aerial vehicles, identifying the unmanned aerial vehicles on an outer surrounding surface in the maximum connection outer surrounding stereogram, extracting number information of any unmanned aerial vehicle on the outer surrounding surface and recording the number information as I_d Identifying and I on the outer peripheral surface_d Any two unmanned aerial vehicles connected in a straight line are respectively marked as I_e And I_f Wherein d, e and f represent the unmanned aerial vehicle number and d +.e +.f, respectively; i is as follows_d Are angular apexes, respectively with I_d To I_e Straight line I between_d I_e And I_d To I_f Straight line I between_d I_f Calculating two-dimensional sector angles for both sides of the angle; in straight line I_f I_e Mid-point to I_d The connecting straight line is a rotating shaft, and the two-dimensional fan shape is rotated for one circle according to the two-dimensional fan shape angle to form a cone; respectively by I_d Pointing I_e Direction and I_d Pointing I_f Extending the two-dimensional fan-shaped direction to form a cone extending range, and taking the cone extending range as the unmanned plane I_d Is used for adjusting the transmission parameters of an interference source and aiming at the unmanned plane I_d Is limited by the coverage range of the interference signals, and the unmanned plane I after the limitation is carried out_d Is recorded as unmanned plane I_d Is a real interference signal coverage area;

the safe communication dynamic region generation unit is used for acquiring real interference signal coverage areas of all unmanned aerial vehicles on an outer surrounding surface in the maximum connection outer surrounding stereogram, constructing an unmanned aerial vehicle networking cooperative interference safe communication dynamic region model, and recording the superposition coverage areas of the real interference signal coverage areas of all unmanned aerial vehicles as safe communication dynamic regions;

the unmanned aerial vehicle dynamic cooperation module is used for dynamically scheduling all unmanned aerial vehicles in a single dispatch air area based on the safe communication dynamic area;

the unmanned aerial vehicle dynamic collaboration module further comprises a dynamic scheduling judging unit and a dynamic scheduling decision unit;

the dynamic scheduling decision unit is used for determining the lack of unmanned aerial vehicles participating in the temporary task according to the number of unmanned aerial vehicles in the safety communication dynamic area and the number of unmanned aerial vehicles participating in the temporary task during dynamic scheduling, and the number of unmanned aerial vehicles for dynamic scheduling is equal to the lack; starting a first dynamic scheduling decision, scheduling the areas except the safe communication dynamic area in the instruction area, determining the scheduling number of the unmanned aerial vehicle in the instruction area, and starting a second dynamic scheduling decision if the scheduling number does not meet the requirement of the lack of the number; when a second dynamic scheduling decision is started, scheduling unmanned aerial vehicles in a non-instruction area, and collecting U according to the number of the non-instruction area₂ Determining the scheduling number of the unmanned aerial vehicles in a non-instruction area, wherein the scheduling number of the unmanned aerial vehicles in the non-instruction area is equal to the difference between the lack number and the scheduling number of the unmanned aerial vehicles in the instruction area; when a first dynamic scheduling decision is started and a second dynamic scheduling decision is started to schedule the unmanned aerial vehicle, the unmanned aerial vehicle networking communication link dynamic connection relation of the instruction area and the unmanned aerial vehicle networking communication link dynamic connection relation of the non-instruction area are called V, any one unmanned aerial vehicle networking communication link dynamic connection relation participating in scheduling in the unmanned aerial vehicle networking communication link dynamic connection relation of the instruction area and the unmanned aerial vehicle networking communication link dynamic connection relation of the non-instruction area is called I, and any one unmanned aerial vehicle participating in scheduling in the V is called V_y Wherein y is the number of the unmanned aerial vehicle, and calculating a dynamic scheduling influence value; dynamic connection relation of all unmanned aerial vehicle networking communication links for calculating instruction areas and non-instruction areas respectivelyThe dynamic scheduling influence values of all the dynamic connection relations of the unmanned aerial vehicle networking communication links are sequentially arranged from small to large, and when in dynamic scheduling, selective scheduling is sequentially carried out according to the arrangement until the lack of quantity is met.

Referring to fig. 2, in the second embodiment: the unmanned aerial vehicle safety communication method based on cooperative interference comprises the following steps:

acquiring position information of all unmanned aerial vehicles in a single dispatch air zone, tracking the position information of all unmanned aerial vehicles in the single dispatch air zone in real time, dividing dynamic zones in the single dispatch air zone, and generating a double dynamic zone set of the unmanned aerial vehicles based on a dynamic zone division result, wherein the double dynamic zone comprises an instruction zone and a non-instruction zone;

real-time tracking is conducted on all unmanned aerial vehicle position information of the single dispatch aerial region, real-time dynamic position tracking information of each unmanned aerial vehicle is formed, dynamic region division is conducted on the single dispatch aerial region according to the real-time dynamic position tracking information of each unmanned aerial vehicle, the number of unmanned aerial vehicles in an instruction region in the single dispatch aerial region and the number of unmanned aerial vehicles in a non-instruction region in the single dispatch aerial region are determined, the single dispatch aerial region is an integral aerial region of a single dispatch task, the instruction region is a temporary scheduling local aerial region in the integral aerial region of the single dispatch task, and the non-instruction region is a local aerial region except the instruction region in the integral aerial region of the single dispatch task;

According to the number of unmanned aerial vehicles in the instruction area and the number of unmanned aerial vehicles in the non-instruction area, generating unified number information of all unmanned aerial vehicles in the single dispatch air area, extracting the number information of the unmanned aerial vehicles in the instruction area according to the unified number information, and marking a number set of the generated instruction area as U₁ The unmanned aerial vehicle in the non-instruction area is subjected to number information extraction, and a non-instruction area number set is generated and marked as U₂ ；

Carrying out radar communication link node division on all unmanned aerial vehicles in the single dispatch air area, constructing a unmanned aerial vehicle networking communication link dynamic model based on a radar communication link node division result, and carrying out networking communication link dynamic identification on all unmanned aerial vehicles in the single dispatch air area;

each unmanned aerial vehicle in the single dispatch empty area is regarded as a radar communication link node, and the radar communication link node comprises a source node, a relay node and a target node, wherein the source node, the relay node and the target node are according to t₁ From time to t₂ The temporary task requirements between the moments are dynamically adjusted and determined, a source node is a radar communication transmitting source, a target node is a radar communication receiving source, a relay node receives radar communication transmitting information of the source node and sends the received radar communication transmitting information of the source node to the target node;

The dynamic adjustment determination is performed in the following manner:

for example, t₁ Time sum t₂ The time can be intelligently adjusted according to the repetition period of radar communication transmission, t₁ Adjusted to the starting time of one period, t₂ The end time of one period is adjusted, so that a switch for transmitting the interference signals is intelligently adjusted, and the adjacent interference signals in the repeated period are not from the same interference source, and the same position in the next period is not the interference signal of the previous period;

constructing a communication link dynamic model of the unmanned aerial vehicle network, and setting t for all unmanned aerial vehicles in a single dispatch empty area₁ From time to t₂ The dynamic adjustment and determination are carried out between moments, radar communication links are combed, an unmanned aerial vehicle networking communication link dynamic connection relationship is formed, the unmanned aerial vehicle networking communication link dynamic connection relationship comprises a direct communication connection relationship and an indirect communication connection relationship, and the direct communication connection relationship is expressed as I_a →I_b Wherein I_a And I_b The indirect communication connection relationship is expressed as I_a →I₁ →I_a →...→I_c →I_b Wherein I₁ 、I_a 、...、I_c The first relay node and the second relay node are respectively 1 st, 2 nd, c relay nodes, a not equal to b not equal to c, and c represents unmanned aerial vehicle numbers; according to the dynamic connection relation of the unmanned aerial vehicle networking communication links, carrying out networking communication link dynamic identification on all unmanned aerial vehicles in a single dispatch air area;

based on a networking communication link dynamic identification result, constructing an unmanned aerial vehicle networking cooperative interference safety communication dynamic region model, and generating a safety communication dynamic region;

splitting all radar communication link nodes in a single dispatch empty region, extracting target nodes, and generating a target node set M from the extracted target nodes;

according to the instruction area number set and the target node set, t is calculated in the instruction area₁ From time to t₂ The temporary tasks between moments require the assigned unmanned aerial vehicles to be identified, a temporary assigned unmanned aerial vehicle set is generated and recorded as L, and L=U₁ N is M; constructing a three-dimensional coordinate system of a single dispatch aerial region, performing point-to-point linear connection on all unmanned aerial vehicles in a temporary assignment unmanned aerial vehicle set according to real-time dynamic position tracking information of the unmanned aerial vehicles, forming a maximum connection outer surrounding stereogram of the unmanned aerial vehicles, identifying the unmanned aerial vehicles on an outer surrounding surface in the maximum connection outer surrounding stereogram, extracting number information of any unmanned aerial vehicle on the outer surrounding surface and recording the number information as I_d Identifying and I on the outer peripheral surface_d Any two frames connected in straight lineUnmanned aerial vehicles and respectively marked as I_e And I_f Wherein d, e and f represent the unmanned aerial vehicle number and d +.e +.f, respectively; i is as follows_d Are angular apexes, respectively with I_d To I_e Straight line I between_d I_e And I_d To I_f Straight line I between_d I_f For both sides of the angle, a two-dimensional fan angle is calculated, denoted as Q (I_d ) The specific calculation formula is as follows:

in straight line I_f I_e Mid-point to I_d The connecting straight line is a rotating shaft, and the two-dimensional fan shape is rotated for one circle according to the two-dimensional fan shape angle to form a cone; respectively by I_d Pointing I_e Direction and I_d Pointing I_f Extending the two-dimensional fan-shaped direction to form a cone extending range, and taking the cone extending range as the unmanned plane I_d Is used for adjusting the transmission parameters of an interference source and aiming at the unmanned plane I_d Is limited by the coverage range of the interference signals, and the unmanned plane I after the limitation is carried out_d Is recorded as unmanned plane I_d Is a real interference signal coverage area;

acquiring real interference signal coverage areas of all unmanned aerial vehicles on an outer surrounding surface in a maximum connection outer surrounding perspective view, constructing an unmanned aerial vehicle networking cooperative interference safety communication dynamic area model, and recording the superposition coverage areas of the real interference signal coverage areas of all unmanned aerial vehicles as a safety communication dynamic area;

dynamically scheduling all unmanned aerial vehicles in the single dispatch air area based on the safe communication dynamic area;

identifying the number of unmanned aerial vehicles in a safe communication dynamic area, and determining the number of unmanned aerial vehicles participating in a temporary task according to the temporary task requirement; if the number of unmanned aerial vehicles in the safe communication dynamic area is greater than or equal to the number of unmanned aerial vehicles participating in the temporary task, keeping t₁ From time to t₂ The unmanned aerial vehicle network air area position array type between the moments, otherwise, dynamically scheduling all unmanned aerial vehicles in the single dispatch air area;

when in dynamic scheduling, determining the lack of unmanned aerial vehicles participating in the temporary task according to the number of unmanned aerial vehicles in the safe communication dynamic area and the number of unmanned aerial vehicles participating in the temporary task, wherein the number of unmanned aerial vehicles in the dynamic scheduling is equal to the lack; starting a first dynamic scheduling decision, scheduling the areas except the safe communication dynamic area in the instruction area, determining the scheduling number of the unmanned aerial vehicle in the instruction area, and starting a second dynamic scheduling decision if the scheduling number does not meet the requirement of the lack of the number; when a second dynamic scheduling decision is started, scheduling unmanned aerial vehicles in a non-instruction area, and collecting U according to the number of the non-instruction area₂ Determining the scheduling number of the unmanned aerial vehicles in a non-instruction area, wherein the scheduling number of the unmanned aerial vehicles in the non-instruction area is equal to the difference between the lack number and the scheduling number of the unmanned aerial vehicles in the instruction area;

when a first dynamic scheduling decision is started and a second dynamic scheduling decision is started to schedule the unmanned aerial vehicle, the unmanned aerial vehicle networking communication link dynamic connection relation of the instruction area and the unmanned aerial vehicle networking communication link dynamic connection relation of the non-instruction area are called V, any one unmanned aerial vehicle networking communication link dynamic connection relation participating in scheduling in the unmanned aerial vehicle networking communication link dynamic connection relation of the instruction area and the unmanned aerial vehicle networking communication link dynamic connection relation of the non-instruction area is called I, and any one unmanned aerial vehicle participating in scheduling in the V is called V_y Wherein y is the number of the unmanned aerial vehicle, and the dynamic scheduling influence value is calculated according to the following specific calculation formula:

For example, for a dynamic connection relationship of one unmanned aerial vehicle network communication link, there are 1 unmanned aerial vehicles participating in scheduling in the link, the total number of unmanned aerial vehicles in the link is 5, and the distance from the unmanned aerial vehicle participating in scheduling to the central point of the safe communication dynamic area is 60km, then the dynamic scheduling influence value of the link is 1/5×60=12.

It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.

Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention and is not intended to limit the present invention, but although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the technical solutions described in the foregoing embodiments, or equivalents may be substituted for some of the technical features thereof. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. The unmanned aerial vehicle safety communication method based on cooperative interference is characterized by comprising the following steps of:

2. The unmanned aerial vehicle safety communication method based on cooperative interference according to claim 1, wherein the specific implementation process of step S100 comprises:

3. The unmanned aerial vehicle safety communication method based on cooperative interference according to claim 2, wherein the specific implementation process of step S200 comprises:

the dynamic adjustment determination is performed in the following manner:

according to t₁ From time to t₂ Temporary task requirements between moments, unmanned plane I_a Marking as a source node, and enabling the unmanned plane I to be_b Marked as target node, unmanned plane I_a And unmanned plane I_b The point-to-point radar communication is carried out between the two, a and b respectively represent unmanned aerial vehicle numbers, and a is not equal to b; if unmanned plane I_a And unmanned plane I_b The radar communication distance between the two can meet the requirement of radar If the information distance limiting condition is met, unmanned plane I_a And unmanned plane I_b Direct point-to-point communication is carried out between the unmanned plane I_a And unmanned plane I_b If the radar communication distance between the unmanned aerial vehicle I and the unmanned aerial vehicle I does not meet the radar communication distance limiting condition_a And unmanned plane I_b Indirect communication is carried out between the two through relay node connection;

4. The unmanned aerial vehicle safety communication method based on cooperative interference according to claim 3, wherein the specific implementation process of the step S300 comprises:

step S302: according to the instruction area number set and the target node set, t is calculated in the instruction area₁ From time to t₂ The temporary tasks between moments require the assigned unmanned aerial vehicle to be identified, a temporary assigned unmanned aerial vehicle set is generated, and the temporary assigned unmanned aerial vehicle set is recordedIs L, and l=u₁ N is M; constructing a three-dimensional coordinate system of a single dispatch aerial region, performing point-to-point linear connection on all unmanned aerial vehicles in a temporary assignment unmanned aerial vehicle set according to real-time dynamic position tracking information of the unmanned aerial vehicles, forming a maximum connection outer surrounding stereogram of the unmanned aerial vehicles, identifying the unmanned aerial vehicles on an outer surrounding surface in the maximum connection outer surrounding stereogram, extracting number information of any unmanned aerial vehicle on the outer surrounding surface and recording the number information as I_d Identifying and I on the outer peripheral surface_d Any two unmanned aerial vehicles connected in a straight line are respectively marked as I_e And I_f Wherein d, e and f represent the unmanned aerial vehicle number and d +.e +.f, respectively; i is as follows_d Are angular apexes, respectively with I_d To I_e Straight line I between_d I_e And I_d To I_f Straight line I between_d I_f For both sides of the angle, a two-dimensional fan angle is calculated, denoted as Q (I_d ) The specific calculation formula is as follows:

step S303: in straight line I_f I_e Mid-point to I_d The connecting straight line is a rotating shaft, and the two-dimensional fan shape is rotated for one circle according to the two-dimensional fan shape angle to form a cone; respectively by I_d Pointing I_e Direction and I_d Pointing I_f Extending the two-dimensional fan-shaped direction to form a cone extending range, and taking the cone extending range as the unmanned plane I_d Is used for adjusting the transmission parameters of an interference source and aiming at the unmanned plane I_d Is limited by the coverage range of the interference signals, and the unmanned plane I after the limitation is carried out_d Is of interference signal coverage of (a)Is marked as unmanned plane I_d Is a real interference signal coverage area;

5. The unmanned aerial vehicle safety communication method based on cooperative interference according to claim 4, wherein the specific implementation process of step S400 comprises:

step S402: when in dynamic scheduling, determining the lack of unmanned aerial vehicles participating in the temporary task according to the number of unmanned aerial vehicles in the safe communication dynamic area and the number of unmanned aerial vehicles participating in the temporary task, wherein the number of unmanned aerial vehicles in the dynamic scheduling is equal to the lack; starting a first dynamic scheduling decision, scheduling the areas except the safe communication dynamic area in the instruction area, determining the scheduling number of the unmanned aerial vehicle in the instruction area, and starting a second dynamic scheduling decision if the scheduling number does not meet the requirement of the lack of the number; when a second dynamic scheduling decision is started, scheduling unmanned aerial vehicles in a non-instruction area, and collecting U according to the number of the non-instruction area₂ Determining the scheduling number of the unmanned aerial vehicles in a non-instruction area, wherein the scheduling number of the unmanned aerial vehicles in the non-instruction area is equal to the difference between the lack number and the scheduling number of the unmanned aerial vehicles in the instruction area;

step S403: when the first dynamic scheduling decision is started and the second dynamic scheduling decision is started to schedule the unmanned aerial vehicle, the unmanned aerial vehicle network of the instruction taking area is scheduledThe method comprises the steps that a communication link dynamic connection relation and an unmanned aerial vehicle networking communication link dynamic connection relation of a non-instruction area are recorded as V, any unmanned aerial vehicle participating in scheduling in the communication link dynamic connection relation of the unmanned aerial vehicle networking communication link of the instruction area and the unmanned aerial vehicle networking communication link dynamic connection relation of the non-instruction area are recorded as I, and any unmanned aerial vehicle participating in scheduling in the V is recorded as V_y Wherein y is the number of the unmanned aerial vehicle, and the dynamic scheduling influence value is calculated according to the following specific calculation formula:

and respectively calculating the dynamic scheduling influence values of all the unmanned aerial vehicle networking communication links in the instruction area and all the unmanned aerial vehicle networking communication links in the non-instruction area, sequentially arranging the dynamic scheduling influence values in order from small to large, and sequentially selecting and scheduling according to the arrangement during dynamic scheduling until the shortage is met.

6. A cooperative interference-based unmanned aerial vehicle secure communication system, the system comprising: the system comprises a dual-dynamic region construction module, an unmanned aerial vehicle networking communication link dynamic identification module, a safety communication dynamic region model construction module and an unmanned aerial vehicle dynamic cooperation module;

7. The cooperative interference-based unmanned aerial vehicle secure communication system of claim 6, wherein: the dual-dynamic region construction module further comprises an air region dynamic dividing unit and a dual-dynamic region set generating unit;

The dual-dynamic region set generating unit is used for dispatching all the air regions in a single time according to the number of unmanned aerial vehicles in the instruction region and the number of unmanned aerial vehicles in the non-instruction regionThe unmanned aerial vehicle generates unified number information, the unmanned aerial vehicle in the instruction area is subjected to number information extraction according to the unified number information, and a generated instruction area number set is marked as U₁ The unmanned aerial vehicle in the non-instruction area is subjected to number information extraction, and a non-instruction area number set is generated and marked as U₂ 。

8. The cooperative interference-based unmanned aerial vehicle secure communication system of claim 7, wherein: the unmanned aerial vehicle networking communication link dynamic identification module further comprises a node dynamic adjustment determination unit and an unmanned aerial vehicle networking communication link dynamic model construction unit;

The dynamic adjustment determination is performed in the following manner:

according to t₁ From time to t₂ Temporary task requirements between moments, unmanned plane I_a Marking as a source node, and enabling the unmanned plane I to be_b Marked as target node, unmanned plane I_a And unmanned plane I_b The point-to-point radar communication is carried out between the two, a and b respectively represent unmanned aerial vehicle numbers, and a is not equal to b; if unmanned plane I_a And unmanned plane I_b The radar communication distance between the unmanned plane I and the unmanned plane I meets the radar communication distance limiting condition_a And unmanned plane I_b Direct point-to-point communication is carried out between the unmanned plane I_a And unmanned plane I_b If the radar communication distance between the unmanned aerial vehicle I and the unmanned aerial vehicle I does not meet the radar communication distance limiting condition_a And unmanned plane I_b ' ZhangtongIndirectly communicating through relay node connection;

the unmanned aerial vehicle network communication link dynamic model building unit builds an unmanned aerial vehicle network communication link dynamic model, and sends all unmanned aerial vehicles in the empty area at t for a single time₁ From time to t₂ The method comprises the steps of dynamically adjusting and determining moments, carding radar communication links to form a dynamic connection relation of unmanned aerial vehicle networking communication links, wherein the dynamic connection relation of the unmanned aerial vehicle networking communication links comprises a direct communication connection relation and an indirect communication connection relation, and the direct communication connection relation is expressed as I_a →I_b Wherein I_a And I_b The indirect communication connection relationship is expressed as I_a →I₁ →I_a →...→I_c →I_b Wherein I₁ 、I_a 、...、I_c The first relay node and the second relay node are respectively 1 st, 2 nd, c relay nodes, a not equal to b not equal to c, and c represents unmanned aerial vehicle numbers; and carrying out dynamic identification on networking communication links of all unmanned aerial vehicles in the single dispatch air area according to the dynamic connection relation of the networking communication links of the unmanned aerial vehicles.

9. The cooperative interference-based unmanned aerial vehicle secure communication system of claim 8, wherein: the safe communication dynamic region model building module further comprises a real interference signal coverage range acquisition unit and a safe communication dynamic region generation unit;

the real interference signal coverage area acquisition unit splits all radar communication link nodes in a single dispatch empty area and extracts target nodes based on a dynamic identification result of a networking communication link, and the extracted target nodes generate a target node set M; according to the instruction area number set and the target node set, t is calculated in the instruction area₁ From time to t₂ The temporary tasks between moments require the assigned unmanned aerial vehicles to be identified, a temporary assigned unmanned aerial vehicle set is generated and recorded as L, and L=U₁ N is M; constructing a three-dimensional coordinate system of a single dispatch air area, and temporarily assigning according to real-time dynamic position tracking information of the unmanned aerial vehicleAll unmanned aerial vehicles in the unmanned aerial vehicle set are connected in a point-to-point straight line and form a maximum connection outer surrounding stereogram of the unmanned aerial vehicle, the unmanned aerial vehicle on the outer surrounding surface in the maximum connection outer surrounding stereogram is identified, and the number information of any unmanned aerial vehicle on the outer surrounding surface is extracted and recorded as I_d Identifying and I on the outer peripheral surface_d Any two unmanned aerial vehicles connected in a straight line are respectively marked as I_e And I_f Wherein d, e and f represent the unmanned aerial vehicle number and d +.e +.f, respectively; i is as follows_d Are angular apexes, respectively with I_d To I_e Straight line I between_d I_e And I_d To I_f Straight line I between_d I_f Calculating two-dimensional sector angles for both sides of the angle; in straight line I_f I_e Mid-point to I_d The connecting straight line is a rotating shaft, and the two-dimensional fan shape is rotated for one circle according to the two-dimensional fan shape angle to form a cone; respectively by I_d Pointing I_e Direction and I_d Pointing I_f Extending the two-dimensional fan-shaped direction to form a cone extending range, and taking the cone extending range as the unmanned plane I_d Is used for adjusting the transmission parameters of an interference source and aiming at the unmanned plane I_d Is limited by the coverage range of the interference signals, and the unmanned plane I after the limitation is carried out_d Is recorded as unmanned plane I_d Is a real interference signal coverage area;

10. The cooperative interference-based unmanned aerial vehicle secure communication system of claim 9, wherein: the unmanned aerial vehicle dynamic collaboration module further comprises a dynamic scheduling judging unit and a dynamic scheduling decision unit;

the dynamic scheduling judging unit is used for identifyingThe number of unmanned aerial vehicles in the safe communication dynamic area is determined according to the temporary task requirement; if the number of unmanned aerial vehicles in the safe communication dynamic area is greater than or equal to the number of unmanned aerial vehicles participating in the temporary task, keeping t₁ From time to t₂ The unmanned aerial vehicle network air area position array type between the moments, otherwise, dynamically scheduling all unmanned aerial vehicles in the single dispatch air area;

The dynamic scheduling decision unit is used for determining the lack of unmanned aerial vehicles participating in the temporary task according to the number of unmanned aerial vehicles and the number of unmanned aerial vehicles participating in the temporary task in the dynamic area of the safety communication during dynamic scheduling, and the number of the unmanned aerial vehicles for dynamic scheduling is equal to the lack; starting a first dynamic scheduling decision, scheduling the areas except the safe communication dynamic area in the instruction area, determining the scheduling number of the unmanned aerial vehicle in the instruction area, and starting a second dynamic scheduling decision if the scheduling number does not meet the requirement of the lack of the number; when a second dynamic scheduling decision is started, scheduling unmanned aerial vehicles in a non-instruction area, and collecting U according to the number of the non-instruction area₂ Determining the scheduling number of the unmanned aerial vehicles in a non-instruction area, wherein the scheduling number of the unmanned aerial vehicles in the non-instruction area is equal to the difference between the lack number and the scheduling number of the unmanned aerial vehicles in the instruction area; when a first dynamic scheduling decision is started and a second dynamic scheduling decision is started to schedule the unmanned aerial vehicle, the unmanned aerial vehicle networking communication link dynamic connection relation of the instruction area and the unmanned aerial vehicle networking communication link dynamic connection relation of the non-instruction area are called V, any one unmanned aerial vehicle networking communication link dynamic connection relation participating in scheduling in the unmanned aerial vehicle networking communication link dynamic connection relation of the instruction area and the unmanned aerial vehicle networking communication link dynamic connection relation of the non-instruction area is called I, and any one unmanned aerial vehicle participating in scheduling in the V is called V_y Wherein y is the number of the unmanned aerial vehicle, and calculating a dynamic scheduling influence value; calculating dynamic scheduling influence values of all unmanned aerial vehicle networking communication link dynamic connection relations of the instruction area and all unmanned aerial vehicle networking communication link dynamic connection relations of the non-instruction area respectively, arranging the dynamic scheduling influence values in sequence from small to large, and during dynamic scheduling, according to the dynamic schedulingAnd the arrangement sequentially performs selective scheduling until the lack of quantity is met.