DocumentCode
2554023
Title
Approximate ML Detection for MIMO-OFDM Systems Using Multistage Chase Detection Algorithm
Author
Yang, Tiejun ; Fu, Hongliangi
Author_Institution
Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou, China
fYear
2010
fDate
23-25 Sept. 2010
Firstpage
1
Lastpage
4
Abstract
In recent publications, some special detectors were proposed to improve the performance and complexity gaps between the optimal detector and the suboptimal detector. In this paper, we propose a multistage chase detection algorithm for MIMO-OFDM systems, which use chase detection framework to design sub-detector, so the nest chase detection was implemented that can further decrease the error spread and improve the BER performance. Simulation results show that the proposed schemes performs better than BLAST and conventional chase detection, which can achieve near-ML performance with lower complexity compared with ML algorithm.
Keywords
MIMO communication; OFDM modulation; error statistics; maximum likelihood detection; BER performance; BLAST; MIMO-OFDM systems; ML detection; chase detection framework; multistage chase detection algorithm; Bit error rate; Complexity theory; Detection algorithms; Detectors; MIMO; OFDM; Transmitting antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-3708-5
Electronic_ISBN
978-1-4244-3709-2
Type
conf
DOI
10.1109/WICOM.2010.5600656
Filename
5600656
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