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Abstract
In vehicle communications, channel characteristic experiences time and frequency selective fading due to high velocity of vehicle and rapid changes of surrounding scatters. The packet format for IEEE 802.11p standard limits the choice of channel estimation algorithms. Conventional channel estimation algorithms perform the channel estimation based on the long preamble training sequence, then applies the estimated channel response to compensate for the entire packet. These algorithms are not optimal for a doubly selective channel in vehicle communications. In this paper, to overcome the effect of doubly selective channel, we propose a novel pilot insertion scheme that covers all subcarriers in both the time and frequency domains simultaneously. Adaptive channel estimation and equalization algorithms are then developed based on the new system architecture. Simulations show significant improvements comparing to other exiting methods.
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Authors and Affiliations
Shanghai Institute of Microsystem and Information Technology, CAS, China
Sunzeng Cai
Key Laboratory of Wireless Sensor Network and Communication, CAS, China
Sunzeng Cai
Shanghai Research Center for Wireless Communications, China
Haiping Jiang
Shanghai Internet of Things Co., Ltd., China
Hua Qian
Department of ECE, University of Michigan-Dearborn, USA
Weidong Xiang
- Sunzeng Cai
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- Haiping Jiang
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- Hua Qian
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- Weidong Xiang
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Shanghai Institute of Microsystem and Information Technology, Shanghai, China
Hua Qian & Kai Kang &
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Cai, S., Jiang, H., Qian, H., Xiang, W. (2013). Pilots Aided Channel Estimation for Doubly Selective Fading Channel in Vehicular Environment. In: Qian, H., Kang, K. (eds) Wireless Internet. WICON 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41773-3_1
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