Generalized Eigen-Combining Algorithm for Adaptive Array Systems in a Co-Channel Interference Environment
- Authors
- Hyeon, Seungheon; Choi, 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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