Optimal Combining Algorithm for Signal Arraying Using MMSE Weight Estimate

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...

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Bibliographic Details
Main Authors: Cailian Chen, Hongyi Yu, Caiyao Shen, Ke Yang
Format: Conference Proceeding
Language:English
Subjects:
Adaptive arrays
Adaptive systems
Additive white noise
Antenna arrays
Cities and towns
Iterative algorithms
Mean square error methods
MMSE
Numerical simulation
optimal combining
Performance analysis
Phased arrays
signal arraying
weight estimate
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Summary: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.
DOI:10.1109/ICNDS.2009.76