标题：Adaptive algorithm of parallel genetic optimization based on orthogonal wavelet of space diversity
作者：Pei, Xiao Gen ;Zheng, Shao Hua
作者机构：[Pei, Xiao Gen ;Zheng, Shao Hua ] Communication Command Department of the Armored Force Institute, Bengbu, China;[Pei, Xiao Gen ] School of Informatio 更多
会议名称：International Conference on Electric, Electronic and Control Engineering, ICEECE 2015
会议日期：5 March 2015 through 6 March 2015
来源：Electric, Electronic and Control Engineering - Proceedings of the International Conference on Electric, Electronic and Control Engineering, ICEECE 2015
关键词：Adaptive; Parallel genetic algorithm; Space diversity; Wavelet transform
摘要：Diversity technology can effectively resist channel multipath fading, and balanced technology can effectively inhibit the inter-symbol interference, so the diversity technology and balanced technology combined can effectively improve the quality of communication. Simultaneously, this paper uses parallel genetic algorithm to optimize the space diversity orthogonal wavelet adaptive algorithm, taking the space points on each branch equalizer weight vector as the son species of parallel genetic algorithms for selection, crossover, and mutation; between each species to each other and regularly send the best individual fitness; eliminate the worst individual fitness; and take diversity branch output signal and input orthogonal wavelet adaptive device combined. The computer simulation results show that the fast algorithm convergence speed and small steady-state errors can achieve the global optimal solution. © 2015 Taylor & Francis Group, London.