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초록
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.
키워드
Generalized eigenvalue decomposition; adaptive arrays; signal subspace; diversity; co-channel interference; Adaptive algorithms; Cochannel interference; Eigenvalues and eigenfunctions; Interference suppression; Signal analysis; Wireless telecommunication systems; Signal processing; Adaptive arrays; Angular spreads; Diversity; Diversity gain; Generalized eigenvalue decomposition; Maximum ratio; Maximum signal-to-interference ratios; Performance saturation; Signal components; Signal subspace; Spatial channels; Strong interference
- 제목
- Generalized Eigen-Combining Algorithm for Adaptive Array Systems in a Co-Channel Interference Environment
- 저자
- Hyeon, Seungheon; Choi, Seungwon
- 발행일
- 2009-04
- 유형
- Article
- 권
- 13
- 호
- 4
- 페이지
- 215 ~ 217