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

作　　者：黄伟[1] 郭业才[2] 王珍[1] 

机构地区：[1]安徽理工大学电气与信息工程学院,安徽淮南232001 [2]南京信息工程大学电子与信息工程学院,南京210044

出　　处：《计算机应用研究》2012年第11期4124-4126,共3页Application Research of Computers

基　　金：全国优秀博士学位论文作者专项资金资助项目(200753);安徽省高等学校自然科学基金资助项目(KJ2010A096);江苏省高等学校自然科学基金资助项目(08KJB510010);江苏省自然科学基金资助项目(BK2009410)

摘　　要：针对人工鱼群算法(AFSA)搜索效率低、易陷入早熟现象等问题,在人工鱼群算法中嵌入变异算子以保持种群多样性,抑制早熟现象,同时引入模拟退火思想增强局部搜索能力,改进算法后期收敛速度减慢的缺点,获得了模拟退火与人工鱼群变异算法;用该算法初始化小波分数间隔盲均衡器的权向量,提出了模拟退火与人工鱼群变异优化的小波分数间隔盲均衡算法(SAFSA-FSE-WTCMA)。水声信道仿真结果表明,新算法具有更快的收敛速度和更小的稳态误差。According to disadvantage of the poor local search and premature phenomena of artificial fish swarm algorithm（AFSA）,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 equalizer 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 acoustic 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 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]