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Generalized Eigen-Combining Algorithm for Adaptive Array Systems in a Co-Channel Interference Environment
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DOI：10.1109/LCOMM.2009.081286.png)
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This paper presents a generalized eigen-combining algorithm for an adaptive array system that provides a diversity gain in angular spread, and a maximum signal-to-interference ratio (SIR) in the presence of strong interference. The proposed technique generates the maximum ratio of signal components distributed in the spatial channel subspace using channel bases that span the signal subspace and nullify the interference. Through extensive computer simulations, it is shown that the proposed algorithm represents a breakthrough in preventing performance saturation caused by strong co-channel interference.
Keyword:
Generalized eigenvalue decomposition
adaptive arrays
signal subspace
diversity
co-channel interference
期刊
IF:
4.4
论文数:
1.3W
被引数:
2.2W
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