计算机技术与发展2012，Vol.22Issue(6)：64-67,4.
差分算法在盲均衡中的应用与研究
Application and Research of Differential Evolution in Blind Equalization
摘要
Abstract
It gives the application and research of differential evolution in blind equalization,simulation shows that differential blind detection algorithm has strong global convergence and robustness, but easy to get into a local minimum and convergence is slow. Blind detection algorithm for differential was further unproved in this article,resulting in improved differential blind detection algorithm. Differential blind detection algorithm uses the algorithm of pseudo random chaos,ergodicity,initial sensitivity ,topological transitivity .overall stability, combining it with blind detection algorithm, adding chaos disturbance when the population is initialized, looking for irregular regular. Simulation results show that the impoved algorithm accelerates convergence speed and optimizes algorithm performance.关键词
差分盲检测算法/混沌算法/盲均衡Key words
differential blind detection algorithm/ chaos algorithm/ blind equalization分类
信息技术与安全科学引用本文复制引用
蔡思捷,于舒娟,张昀..差分算法在盲均衡中的应用与研究[J].计算机技术与发展,2012,22(6):64-67,4.基金项目
国家自然科学基金(60772060) （60772060）
