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

Research Article

Dynamic Channel Estimation over Fast Time-varying Channel for Vehicle Wireless Communications

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  • @INPROCEEDINGS{10.1007/978-3-642-41773-3_2,
        author={Haiping Jiang and Sunzeng Cai and Weidong Xiang and Hua Qian},
        title={Dynamic Channel Estimation over Fast Time-varying Channel for Vehicle Wireless Communications},
        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_2}
    }
    
  • Haiping Jiang
    Sunzeng Cai
    Weidong Xiang
    Hua Qian
    Year: 2013
    Dynamic Channel Estimation over Fast Time-varying Channel for Vehicle Wireless Communications
    WICON
    Springer
    DOI: 10.1007/978-3-642-41773-3_2
Haiping Jiang,*, Sunzeng Cai,*, Weidong Xiang1,*, Hua Qian2,*
  • 1: University of Michigan-Dearborn
  • 2: Shanghai Internet of Things Co., Ltd.
*Contact email: haiping.jiang@shrcwc.org, sunzeng.cai@shrcwc.org, xwd@umd.umich.edu, hua.qian@shrcwc.org

Abstract

In vehicle wireless communications, channel characteristics vary rapidly due to the high velocity of the vehicle and rich surrounding scatters. To guarantee a reliable transmission, dynamic channel estimation needs to track the channel changes in the duration of a packet. Within the framework of IEEE802.11p standard, we propose a new channel estimation algorithm that combines data subcarriers and pilot subcarriers to equalize channel response in both frequency domain and time domain. Depending on the changes of the channel, the channel response can be further dynamically equalized by combining the channel response of previous OFDM symbols. Simulations show significant improvement in terms of packet error rate (PER) comparing to the existing methods with little additional computation.