DocumentCode :
1116961
Title :
Receive antenna selection for MIMO-SM systems with linear MMSE receivers in the presence of unknown interference
Author :
Lin, Zhiwei ; Premkumar, A.B. ; Madhukumar, A.S.
Author_Institution :
Inst. for Infocomm Res.
Volume :
6
Issue :
2
fYear :
2007
Firstpage :
417
Lastpage :
422
Abstract :
In this paper, a novel receive antenna subset selection technique is proposed for multiple input multiple output spatial multiplexing (MIMO-SM) systems with linear minimum mean square error (MMSE) receivers in the presence of unknown co-channel interference. This antenna selection technique is directly implemented based on training sample sequence by utilizing backward greedy algorithm (BGA) under the least squares (LS) criterion. In the case of practical implementation. Diagonal loading (DL) technique is incorporated into the selection process to insure robustness of antenna selection given limited training sample support. Simulation results show that the proposed antenna selection technique is able to retain the diversity order of a full complexity system in the presence of unknown multiple access interference (MAI)
Keywords :
MIMO communication; antenna arrays; cochannel interference; computational complexity; diversity reception; greedy algorithms; least mean squares methods; multi-access systems; multiplexing; receiving antennas; MIMO-SM systems; backward greedy algorithm; diagonal loading technique; diversity order; linear MMSE receivers; linear minimum mean square error; multiple input multiple output spatial multiplexing; receive antenna selection; unknown cochannel interference; unknown multiple access interference; Adaptive arrays; Computational complexity; Fading; Greedy algorithms; Least squares methods; MIMO; Multiple access interference; Radio frequency; Receiving antennas; Wireless communication;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2007.05427
Filename :
4100143
Link To Document :
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