Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers

Research Article

Research on LMMSE Channel Estimation Algorithm Using SLSM in WPM System

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  • @INPROCEEDINGS{10.1007/978-3-319-52730-7_38,
        author={Weizhi Zhong and Sheng Su and Xin Liu and Jianjiang Zhou},
        title={Research on LMMSE Channel Estimation Algorithm Using SLSM in WPM System},
        proceedings={Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers},
        proceedings_a={MLICOM},
        year={2017},
        month={2},
        keywords={WPM system Channel estimation LMMSE algorithm Simplified linear signal model},
        doi={10.1007/978-3-319-52730-7_38}
    }
    
  • Weizhi Zhong
    Sheng Su
    Xin Liu
    Jianjiang Zhou
    Year: 2017
    Research on LMMSE Channel Estimation Algorithm Using SLSM in WPM System
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-52730-7_38
Weizhi Zhong1,*, Sheng Su1,*, Xin Liu2,*, Jianjiang Zhou1,*
  • 1: Nanjing University of Aeronautics and Astronautics
  • 2: Dalian University of Technology
*Contact email: zhongwz@nuaa.edu.cn, susheng@nuaa.edu.cn, liuxinstar1984@dlut.edu.cn, zjjee@nuaa.edu.cn

Abstract

In wavelet packet modulation (WPM) system, the application of the linear minimum mean square error (LMMSE) channel estimation algorithm is limited by the nonlinearity of the fading WPM signal. To solve the problem, a simplified linear signal model (SLSM) matching with the LMMSE algorithm is established in the paper. The establishing of the SLSM is based on the fading channel and the orthogonality of WPM signals. The analysis and simulation results show that, the SLSM is matched with the LMMSE algorithm, and the SLSM based LMMSE algorithm can improve the WPM system performance effectively in frequency-selective fading environment.