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Partial MAP-Based List Detection for MIMO Systems
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DOI：10.1109/TVT.2008.2005196.png)
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The partial maximum a posteriori probability (PMAP) principle can be applied to reduce the complexity of the multiple-input-multiple-output (MIMO) detection through the successive interference cancellation (SIC). In this paper, we apply the PMAP principle to the list detection method for MIMO detection, where the SIC is performed with a list of candidates. The PMAP principle helps to choose candidate symbol vectors in the list detection. It is shown that the proposed method outperforms the conventional list detection method with a reasonable complexity.
Keyword:
Interference cancellation
list decoding
maximum a posteriori probability (MAP) detection
maximum likelihood (ML) detection
multiple-input-multiple-output (MIMO) system
vertical Bell Laboratories layered space-time (V-BLAST)
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7.1
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1.8W
被引数:
6.6W
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