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학술지 ML Approaching MIMO Detection Based on Orthogonal Projection
Cited 18 time in scopus Download 5 time Share share facebook twitter linkedin kakaostory
저자
방승재, 신석주, 박윤옥
발행일
200706
출처
IEEE Communications Letters, v.11 no.6, pp.474-476
ISSN
1089-7798
출판사
IEEE
DOI
https://dx.doi.org/10.1109/LCOMM.2007.070146
초록
A detection algorithm for spatially multiplexed multiple input multiple output (MIMO) systems is proposed. The receiver first estimates the MIMO channel and rearranges the layers according to the measured SNRs. To determine the candidate vectors, an orthogonal projection combined with the M-algorithm is used. Without performing the exhaustive full search of the maximum likelihood (ML) method, the proposed algorithm can reach the performance which is closely akin to the ML method. The computational complexity markedly decreases: 0.66% over the ML method in terms of the number of real multiplications. © 2007 IEEE.
KSP 제안 키워드
Computational complexity, Detection algorithm, Full search, M-algorithm, MIMO channel, MIMO detection, ML method, Orthogonal projection(QR), maximum likelihood, multiple-input-multiple-output (MIMO) systems