ChinaCom2008-Signal Processing for Communications Symposium

Research Article

MMSE Channel Shortening Equalization for OFDM Systems with Unequal Subcarrier Powers

  • @INPROCEEDINGS{10.1109/CHINACOM.2008.4685196,
        author={Lei Meng and Jing Li and Aiping Huang and Jing Song and Hongtao Zhang},
        title={MMSE Channel Shortening Equalization for OFDM Systems with Unequal Subcarrier Powers},
        proceedings={ChinaCom2008-Signal Processing for Communications Symposium},
        publisher={IEEE},
        proceedings_a={CHINACOM2008-SPC},
        year={2008},
        month={11},
        keywords={Channel Shortening Equalization OFDM insufficient CP},
        doi={10.1109/CHINACOM.2008.4685196}
    }
    
  • Lei Meng
    Jing Li
    Aiping Huang
    Jing Song
    Hongtao Zhang
    Year: 2008
    MMSE Channel Shortening Equalization for OFDM Systems with Unequal Subcarrier Powers
    CHINACOM2008-SPC
    IEEE
    DOI: 10.1109/CHINACOM.2008.4685196
Lei Meng1, Jing Li1,*, Aiping Huang2,*, Jing Song1, Hongtao Zhang3
  • 1: Institute of Information and Communication Engineering, Zhejiang University Hangzhou 310027, China
  • 2: Institute of Information and Communication Engineering, Zhejiang University Hangzhou 310027, China,Zhejiang Provincial Key Laboratory of Information Network Technology Hangzhou 310027, China
  • 3: Hangzhou Applied Acoustics Research Institute, Hangzhou, 310012, China
*Contact email: jingli_zju@hotmail.com, aiping.huang@zju.edu.cn

Abstract

In severe time dispersive channel, channel shortening equalization enables short cyclic prefix to effectively combat the inter-symbol interference, thus improving the bandwidth efficiency of OFDM system. However, for practical OFDM systems, the transmission powers of all the subcarriers may be different due to either transmission arrangement or power allocation scheme. We propose a new MMSE channel shortening equalization algorithm applicable to all the OFDM/OFDMA systems with equal or unequal subcarrier powers. It is a generalization of the existing channel shortening equalization algorithms. The expressions of correlation matrices of signals are restudied and the optimal coefficients of equalizer are derived. Simulation results validate the positive impact of channel shortening equalization on both error performance and bandwidth efficiency of the system.