Wireless Internet. 7th International ICST Conference, WICON 2013, Shanghai, China, April 11-12, 2013, Revised Selected Papers

Research Article

Pilots Aided Channel Estimation for Doubly Selective Fading Channel in Vehicular Environment

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  • @INPROCEEDINGS{10.1007/978-3-642-41773-3_1,
        author={Sunzeng Cai and Haiping Jiang and Hua Qian and Weidong Xiang},
        title={Pilots Aided Channel Estimation for Doubly Selective Fading Channel in Vehicular Environment},
        proceedings={Wireless Internet. 7th International ICST Conference, WICON 2013, Shanghai, China, April 11-12, 2013, Revised Selected Papers},
        proceedings_a={WICON},
        year={2013},
        month={10},
        keywords={},
        doi={10.1007/978-3-642-41773-3_1}
    }
    
  • Sunzeng Cai
    Haiping Jiang
    Hua Qian
    Weidong Xiang
    Year: 2013
    Pilots Aided Channel Estimation for Doubly Selective Fading Channel in Vehicular Environment
    WICON
    Springer
    DOI: 10.1007/978-3-642-41773-3_1
Sunzeng Cai,*, Haiping Jiang1,*, Hua Qian2,*, Weidong Xiang3,*
  • 1: Shanghai Research Center for Wireless Communications
  • 2: Shanghai Internet of Things Co., Ltd.
  • 3: University of Michigan-Dearborn
*Contact email: sunzeng.cai@shrcwc.org, haiping.jiang@shrcwc.org, hua.qian@shrcwc.org, xwd@umd.umich.edu

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.