DocumentCode
431795
Title
MIMO detection using Markov chain Monte Carlo techniques for near-capacity performance
Author
Zhu, Haidong ; Shi, Zhenning ; Farhang-Boroujeny, Behrouz
Author_Institution
ECE Dept., Utah Univ., Salt Lake City, UT, USA
Volume
3
fYear
2005
fDate
18-23 March 2005
Abstract
In this paper, we develop a new soft-in soft-out (SISO) multiple-input multiple-output (MIMO) detection algorithm using the Markov chain Monte Carlo (MCMC) simulation techniques and study its performance when applied to a MIMO communication system. Comparison with the best MIMO detection algorithm in the current literature, sphere decoding, shows that the proposed detection algorithm can improve the gap between the present results and the capacity by as much as 2 dB.
Keywords
MIMO systems; Markov processes; Monte Carlo methods; channel capacity; channel coding; decoding; iterative methods; signal detection; MCMC; MIMO detection; Markov chain Monte Carlo techniques; SISO channel decoder; iterative MIMO detector; near-capacity channel performance; soft-in soft-out detection; sphere decoding; Australia; Channel capacity; Detection algorithms; Detectors; Electronic mail; Fading; Iterative decoding; MIMO; Monte Carlo methods; Receiving antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8874-7
Type
conf
DOI
10.1109/ICASSP.2005.1415885
Filename
1415885
Link To Document