ChinaCom2009-Signal Processing for Communications Symposium

Research Article

A Combining Algorithm for Signal Arraying Using MMSE

  • @INPROCEEDINGS{10.1109/CHINACOM.2009.5339748,
        author={Chen Cailian and Hongyi Yu and Caiyao Shen and Chaojiang Tan and Ao Zhang and Zhikang Tang},
        title={A Combining  Algorithm for Signal Arraying Using MMSE},
        proceedings={ChinaCom2009-Signal Processing for Communications Symposium},
        keywords={Signal arraying; optimal combining; MMSE; weight estimate;},
  • Chen Cailian
    Hongyi Yu
    Caiyao Shen
    Chaojiang Tan
    Ao Zhang
    Zhikang Tang
    Year: 2009
    A Combining Algorithm for Signal Arraying Using MMSE
    DOI: 10.1109/CHINACOM.2009.5339748
Chen Cailian1,*, Hongyi Yu1, Caiyao Shen1, Chaojiang Tan1, Ao Zhang1, Zhikang Tang1
  • 1: Dept.of Commun Engineering 1.Zhengzhou Institute of Information Science and Technology, Zhengzhou, China 2.F.Mawei Institute, Fuzhou, China
*Contact email:


An optimal digital signal combining algorithm for arraying is proposed. Our approach is a blind combining technique, which doesn’t require any training sequence. In achieving coherence among various receivers, the combining algorithm attempts to maximize the combined output signal-to-noise ratio (SNR). It’s shown in numerical simulations that the combining loss of an 8-element array could limited to about 0.7dB at 2000 symbols /interval in low SNR ,which is about 2.5dB combining loss less than the traditional MMSE adaptive weight estimation using a single reference signal. This results suggests that the combining algorithm proposed here is capable of improving the combining SNR without complex computation.