The Particle Swarm Optimization (PSO) for Symbol Detection in MIMO-OFDM System
Abdessalem TRIMECHE, Asma BOUHLEL, Anis SAKLY, Abdellatif MTIBAA
Journal of Information Security Research, Vol. 4, No. 1, 2013.
DOI: 
Link: http://www.dline.info/jisr/fulltext/v4n1/4.pdf
Abstract:
This paper propose some solutions to improve the performance of terminals mobile transmissions at high speeds, low cost and low power consumption. Indeed, the increase in rates implies that the transmission channels are more difficult, making the task of receivers more difficult. , we are interested in solving the classical problem of detection of a linear mixture of Gaussian noise for MIMO OFDM telecommunication systems from a noisy observation of an input signal mixed with a known matrix representing the behavior of the channel, we seek the vector minimizing the Euclidean distance between the noisy output and the noiseless one. MIMO OFDM systems have large frequency diversity. In this context, we investigate in a first part in the study of performance of conventional equalizers (ML, ZF, MMSEâ€¦). In a second part, we propose a detection algorithm with near-optimal performance in terms of bit error rate BER very close to ML called PSO (Particular Swarm Optimization) for its complexity relatively small compared to other detectors.