2nd International ICST Conference on Communications and Networking in China

Research Article

A Blind Post-FFT User-by-user Beamforming Algorithm for Multiuser OFDM Systems

  • @INPROCEEDINGS{10.1109/CHINACOM.2007.4469443,
        author={Xiang Chen and Chong-Yung Chi and Cheng-Wei Lin and Wing-Kin Ma and Shidong Zhou and Yan  Yao},
        title={A Blind Post-FFT User-by-user Beamforming Algorithm for Multiuser OFDM Systems},
        proceedings={2nd International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2008},
        month={3},
        keywords={Array signal processing  Delay  Detection algorithms  Diversity methods  Diversity reception  Fading  OFDM  Signal processing  Signal processing algorithms  Software performance},
        doi={10.1109/CHINACOM.2007.4469443}
    }
    
  • Xiang Chen
    Chong-Yung Chi
    Cheng-Wei Lin
    Wing-Kin Ma
    Shidong Zhou
    Yan Yao
    Year: 2008
    A Blind Post-FFT User-by-user Beamforming Algorithm for Multiuser OFDM Systems
    CHINACOM
    IEEE
    DOI: 10.1109/CHINACOM.2007.4469443
Xiang Chen1, Chong-Yung Chi2,*, Cheng-Wei Lin2, Wing-Kin Ma2, Shidong Zhou1, Yan Yao1
  • 1: Dept. of Electronic Engineering, Tsinghua University, Beijing
  • 2: Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan
*Contact email: cychi@ee.nthu.edu.tw

Abstract

Recently, Peng and Chi et al. proposed a block-by-block blind post-FFT multistage beamforming algorithm (MSBFA) based on subcarrier averaging for a multiuser orthogonal frequency division multiplexing (OFDM) system, which works well under multipath block fading channels even in the presence of correlated paths. However, the MSBFA is a sequential path-by-path detection algorithm, thereby resulting in long detection latency as the total number of paths of all the active users is large. In this paper, a blind multistage user-byuser beamforming algorithm (UUBFA) is proposed, which, in contrast to the MSBFA, detects all the path signals for one individual user and meanwhile achieves the maximum diversity gain through a blind maximum ratio combining processing at each stage. In addition to achieving the same performance as the MSBFA, the parallel signal processing structure of the proposed UUBFA is well suited to software and hardware implementations.