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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415885
