A Combining  Algorithm for Signal Arraying Using MMSE

Chen Cailian; Hongyi Yu; Caiyao Shen; Chaojiang Tan; Ao Zhang; Zhikang Tang

ChinaCom2009-Signal Processing for Communications Symposium

Research Article

A Combining Algorithm for Signal Arraying Using MMSE

Cite: BibTeX Plain Text

@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},
    publisher={IEEE},
    proceedings_a={CHINACOM2009-SPC},
    year={2009},
    month={11},
    keywords={Signal arraying; optimal combining; MMSE; weight estimate;},
    doi={10.1109/CHINACOM.2009.5339748}
}

Chen Cailian
Hongyi Yu
Caiyao Shen
Chaojiang Tan
Ao Zhang
Zhikang Tang
Year: 2009
A Combining Algorithm for Signal Arraying Using MMSE
CHINACOM2009-SPC
IEEE
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: cailian2004@126.com

Abstract

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.

Keywords: Signal arraying; optimal combining; MMSE; weight estimate;

Published: 2009-11-20
Publisher: IEEE
Modified: 2010-05-16

: http://dx.doi.org/10.1109/CHINACOM.2009.5339748