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IEICE Transactions on Communications
Online ISSN : 1745-1345
Print ISSN : 0916-8516
Special Section on Information and Communication Technologies for Next-generation Mobile Multimedia Life
Mobile Location Estimation in Wireless Communication Systems
Chien-Sheng CHENSzu-Lin SUYih-Fang HUANG
Author information
  • Chien-Sheng CHEN

    Tainan University of Technology

  • Szu-Lin SU

    Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University

  • Yih-Fang HUANG

    Department of Electrical Engineering, University of Notre Dame

Corresponding author

ORCID
Keywords:time of arrival (TOA),angle of arrival (AOA),non-line-of-sight (NLOS)
JOURNALRESTRICTED ACCESS

2011 Volume E94.BIssue 3Pages 690-693

DOIhttps://doi.org/10.1587/transcom.E94.B.690
Details
  • Published: March 01, 2011Received: June 22, 2010Available on J-STAGE: March 01, 2011Accepted: -Advance online publication: -Revised: -
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Abstract
The objective of wireless location is to determine the mobile station (MS) location in a wireless cellular communications system. When signals are propagated through non-line-of-sight (NLOS) paths, the measurements at the base stations (BSs) contain large errors which result in poor detectability of an MS by the surrounding BSs. In those situations, it is necessary to integrate all available heterogeneous measurements to improve location accuracy. This paper presents hybrid methods that combine time of arrival (TOA) at three BSs and angle of arrival (AOA) information at the serving BS to obtain a location estimate for the MS. The proposed methods mitigate the NLOS effect by using the weighted sum of the intersections between three TOA circles and the AOA line without requiring theapriori knowledge of NLOS error statistics. Numerical results show that all positioning methods offer improved estimation accuracy over those which rely on the two circles and two lines. The proposed methods always achieve better location accuracy than the Taylor series algorithm (TSA) and the hybrid lines of position algorithm (HLOP) do, regardless of the NLOS error statistics.
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© 2011 The Institute of Electronics, Information and Communication Engineers
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