5th International ICST Conference on Communications and Networking in China

Research Article

Estimation of channel temporal auto-correlation and coherence time based on propagation paths

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  • @INPROCEEDINGS{10.4108/chinacom.2010.11,
        author={Xuefeng Yin and Junhe Zhou and Byung-Jae Kwak and Hyun Kyu Chung},
        title={Estimation of channel temporal auto-correlation and coherence time based on propagation paths},
        proceedings={5th International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2011},
        month={1},
        keywords={Wireless channel propagation path Doppler frequency channel temporal auto-correlation channel coherence time SAGE algorithm},
        doi={10.4108/chinacom.2010.11}
    }
    
  • Xuefeng Yin
    Junhe Zhou
    Byung-Jae Kwak
    Hyun Kyu Chung
    Year: 2011
    Estimation of channel temporal auto-correlation and coherence time based on propagation paths
    CHINACOM
    ICST
    DOI: 10.4108/chinacom.2010.11
Xuefeng Yin1,*, Junhe Zhou1,*, Byung-Jae Kwak2,*, Hyun Kyu Chung2,*
  • 1: School of Electronics and Information Engineering, Tongji University, Shanghai, China
  • 2: Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea
*Contact email: yinxuefeng@tongji.edu.cn, jhzhou@tongji.edu.cn, bjkwak@etri.re.kr, hkchung@etri.re.kr

Abstract

In this contribution, we investigate the applicability of using multiple propagation paths to estimate the temporal auto-correlation function and the coherence time of wireless propagation channels. The Space-Alternating Generalized Expectation-maximization (SAGE) algorithm is applied for extracting the paths from measurement data. It is found that the channel auto-correlation function and coherence time computed based on the path parameters are biased. A simple method is proposed for correction of the biases. Experimental investigations are conducted to evaluate the effectiveness of the method.