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
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;
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
DOI :
10.1109/WICOM.2010.5600656