DocumentCode :
3426449
Title :
Particle-Swarm-Optimization-Based Minimum-BER Detection for MIMO Systems with Time-Reversal Space-Time Block Codes
Author :
Wang, Chun-ting
Author_Institution :
Sch. of Commun. Eng., Xidian Univ., Xian
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
4
Abstract :
The aim of this paper is to present an efficient adaptive minimum bit error rate (MBER) detection approach for multiple-in-multiple-out (MIMO) systems with Time-Reversal space-time block codes (TR-STBC), which have attracted enormous attention in recent years. In general, the popular minimum mean square error (MMSE) receiver can be employed due to its good performance and amenability to adaptive implementation. However, it is not optimal in terms of the bit error rate (BER) performance. In this proposed approach, the main idea is to directly minimize the BER by employing an particle swarm optimization (PSO) algorithm on the estimated BER function in order to adaptively adjust the weights of the MBER detectors. Simulation results demonstrate that this adaptive minimum- BER detection using PSO algorithm (MBER-PSO) can achieve significantly superior performance, which is very close to that of the optimal maximum-likelihood sequence estimation (MLSE) detector.
Keywords :
MIMO communication; block codes; error statistics; least mean squares methods; maximum likelihood sequence estimation; particle swarm optimisation; radio receivers; space-time codes; MIMO systems; MMSE receiver; adaptive minimum bit error rate; maximum-likelihood sequence estimation; minimum BER detection; minimum mean square error receiver; multiple-in-multiple-out systems; particle swarm optimization; time-reversal space-time block codes; Bit error rate; Block codes; Detectors; Fading; Frequency; MIMO; Maximum likelihood estimation; Particle swarm optimization; Receiving antennas; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.93
Filename :
4678002
Link To Document :
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