计算机应用研究2012，Vol.29Issue(11)：4124-4126,3.DOI:10.3969/j.issn.1001-3695.2012.11.031
模拟退火与人工鱼群变异优化的小波盲均衡算法
Orthogonal wavelet transform blind equalization algorithm based on artificial fish swarm optimization of mutation operator and simulated annealing
摘要
Abstract
According to disadvantage of the poor local search and premature phenomena of artificial fish swarm algorithm ( AF-SA) , this paper integrated AFSA with mutation operator in order to maintain the population diversity and restrain premature phenomena, while AFSA was combined with simulated annealing to enhance local search capability, and it proposed hybrid artificial fish swarm algorithm optimization of mutation operator and simulated annealing. It initialized weight vector of blind e-qualizer by the algorithm. And it proposed an orthogonal wavelet transform fractionally spaced blind equalization algorithm based on hybrid artificial fish swarm optimization of mutation operator and simulated annealing. Simulations in underwater a-coustic channel demonstrate the proposed algorithm can speed up convergence and decrease state error.关键词
盲均衡/模拟退火/人工鱼群算法/水声信道Key words
bind equalization/ simulated annealing/ artificial fish swarm algorithm/ underwater acoustic channel分类
信息技术与安全科学引用本文复制引用
黄伟,郭业才,王珍..模拟退火与人工鱼群变异优化的小波盲均衡算法[J].计算机应用研究,2012,29(11):4124-4126,3.基金项目
全国优秀博士学位论文作者专项资金资助项目(200753) （200753）
安徽省高等学校自然科学基金资助项目(KJ2010A096) （KJ2010A096）
江苏省高等学校自然科学基金资助项目(08KJB510010) （08KJB510010）
江苏省自然科学基金资助项目(BK2009410) （BK2009410）
