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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Bibliographische Detailangaben
Hauptverfasser: Ji-Woong Choi, Jungwon Lee, Hui-Ling Lou, Jongsun Park
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Complexity theory
Detectors
Lattices
MIMO
Signal to noise ratio
Silicon carbide
Vectors
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Beschreibung
Zusammenfassung: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.
ISSN:1090-3038
2577-2465
DOI:10.1109/VETECF.2011.6093071