DocumentCode :
2233860
Title :
Optimal Combining Algorithm for Signal Arraying Using MMSE Weight Estimate
Author :
Chen, Cailian ; Yu, HongYi ; Shen, Caiyao ; Yang, Ke
Author_Institution :
Dept.of Commun., I.E.Univ., Zhengzhou
Volume :
1
fYear :
2009
fDate :
30-31 May 2009
Firstpage :
281
Lastpage :
284
Abstract :
An optimal digital signal combining algorithm for arraying is proposed. Our approach is a blind combining technique, which doesnpsilat require any training sequence. In achieving coherence among various receivers, the combining algorithm attempts to maximize the combined output signal-to-noise ratio (SNR). Itpsilas shown in numerical simulations that the combining loss of an 8-element array could limited to about 0.7 dB at 2000 symbols /interval in low SNR ,which is about 2.5 dB 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 :
array signal processing; least mean squares methods; MMSE weight estimate; minimum mean square error method; optimal digital signal combining algorithm; signal arraying; signal-to-noise ratio; Adaptive arrays; Adaptive systems; Additive white noise; Antenna arrays; Cities and towns; Iterative algorithms; Mean square error methods; Numerical simulation; Performance analysis; Phased arrays; MMSE; optimal combining; signal arraying; weight estimate;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking and Digital Society, 2009. ICNDS '09. International Conference on
Conference_Location :
Guiyang, Guizhou
Print_ISBN :
978-0-7695-3635-4
Type :
conf
DOI :
10.1109/ICNDS.2009.76
Filename :
5116266
Link To Document :
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