Symbol detection using the differential evolution algorithm in MIMO-OFDM systems

Authors : Muhammet Nuri SEYMAN, Necmi TAŞPINAR

Pages : 373-380

Doi:10.3906/elk-1103-16

View : 12 | Download : 8

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :Channel estimation and symbol detection in multiple-input and multiple-output insert ignore into journalissuearticles values(MIMO);-orthogonal frequency division multiplexing insert ignore into journalissuearticles values(OFDM); systems are essential tasks. Although the maximum likelihood insert ignore into journalissuearticles values(ML); detector reveals excellent performance for symbol detection, the computational complexity of this algorithm is extremely high in systems with more transmitter antennas and high-order constellation size. In this paper, we propose the differential evolution insert ignore into journalissuearticles values(DE); algorithm in order to reduce the search space of the ML detector and the computational complexity of symbol detection in MIMO-OFDM systems. The DE algorithm is also compared to some heuristic approaches, such as the genetic algorithm and particle swarm optimization. According to the simulation results, the DE has the advantage of significantly less complexity and is closer to the optimal solution.
Keywords : Differential evolution, particle swarm optimization, genetic algorithm, maximum likelihood algorithm, MIMO OFDM, symbol detection