DocumentCode :
425885
Title :
Performance evaluation of V-BLAST detection algorithms and a novel segmented detection algorithm
Author :
Gui, Bo ; Qu, Daiming
Author_Institution :
Dept. of Electron. & Inf. Eng, Huazhong Univ. of Sci. & Technol., China
Volume :
2
fYear :
2004
fDate :
17-19 May 2004
Firstpage :
674
Abstract :
Several detection algorithms for the vertical Bell Laboratories layered space time (V-BLAST) system are compared. We propose the concept of segmented detection on the observation that the overall performance of decision feedback equalization (DFE) is limited by the performance of the first detected subchannel. We perform maximum-likelihood (ML) detection for the first several subchannels and use the DFE procedure to detect the remaining subchannels. Also, we propose a novel segmented detection algorithm based on the minimum mean square error (MMSE) criterion. Compared with DFEs, segmented detection improves the detection performance with little increase of complexity. Computer simulation verifies it.
Keywords :
MIMO systems; computational complexity; decision feedback equalisers; least mean squares methods; maximum likelihood detection; multipath channels; DFE; MIMO; ML detection; MMSE criterion; V-BLAST detection algorithms; decision feedback equalization; maximum-likelihood detection; minimum mean square error criterion; multipath channel; multipath wireless channel; segmented detection algorithm; vertical Bell Laboratories layered space time system; Computer simulation; Decision feedback equalizers; Detection algorithms; Interference suppression; MIMO; Maximum likelihood detection; Mean square error methods; Receiving antennas; Space technology; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2004. VTC 2004-Spring. 2004 IEEE 59th
ISSN :
1550-2252
Print_ISBN :
0-7803-8255-2
Type :
conf
DOI :
10.1109/VETECS.2004.1388914
Filename :
1388914
Link To Document :
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