Improved MIMO SIC Detection Exploiting ML Criterion

Improved MIMO SIC Detection Exploiting ML Criterion

In this paper, we propose an improved MIMO successive interference cancellation (SIC) detector taking maximum likelihood (ML) criterion into account. Applying the ML criterion to multiple candidates obtained from all possible orderings of streams in the SIC, the proposed method can provide improved...

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Hauptverfasser: Ji-Woong Choi, Jungwon Lee, Hui-Ling Lou, Jongsun Park
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Sprache:eng
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Complexity theory
Detectors
Lattices
MIMO
Signal to noise ratio
Silicon carbide
Vectors
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Jungwon Lee
Hui-Ling Lou
Jongsun Park
description In this paper, we propose an improved MIMO successive interference cancellation (SIC) detector taking maximum likelihood (ML) criterion into account. Applying the ML criterion to multiple candidates obtained from all possible orderings of streams in the SIC, the proposed method can provide improved performance with complexity comparable to conventional ordered SIC for moderate number of spatial streams.
doi_str_mv 10.1109/VETECF.2011.6093071
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subjects Complexity theory
Detectors
Lattices
MIMO
Signal to noise ratio
Silicon carbide
Vectors
title Improved MIMO SIC Detection Exploiting ML Criterion
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