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Generalized Eigen-Combining Algorithm for Adaptive Array Systems in a Co-Channel Interference Environment

Authors
Hyeon, SeungheonChoi, Seungwon
Issue Date
Apr-2009
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Generalized eigenvalue decomposition; adaptive arrays; signal subspace; diversity; co-channel interference
Citation
IEEE COMMUNICATIONS LETTERS, v.13, no.4, pp.215 - 217
Indexed
SCIE
SCOPUS
Journal Title
IEEE COMMUNICATIONS LETTERS
Volume
13
Number
4
Start Page
215
End Page
217
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/177010
DOI
10.1109/LCOMM.2009.081286
ISSN
1089-7798
Abstract
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.
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서울 공과대학 (서울 융합전자공학부)
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