DocumentCode :
851787
Title :
Partial MAP-Based List Detection for MIMO Systems
Author :
Bai, Lin ; Choi, Jang-Young
Author_Institution :
Wireless Commun. Res. Lab. (WCRL), Swansea Univ., Swansea
Volume :
58
Issue :
5
fYear :
2009
fDate :
6/1/2009 12:00:00 AM
Firstpage :
2544
Lastpage :
2548
Abstract :
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.
Keywords :
MIMO communication; interference suppression; MIMO systems; multiple-input-multiple-output detection; partial maximum a posteriori probability; successive interference cancellation; 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);
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/TVT.2008.2005196
Filename :
4610971
Link To Document :
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