数据采集与处理2011，Vol.26Issue(5)：503-507,5.
基于混合遗传优化的正交小波变换盲均衡算法
Hybrid Blind Equalization Algorithm Based on Genetic Algorithm and Wavelet Transform
摘要
Abstract
Constant modulus algorithm (CMA) has slow convergence speed and easily im- merges in partial minimum owing to the lack of initialization theory. Aiming at these disadvantages, hybrid blind equalization algorithm based on genetic algorithm and wavelet transform (GAWT-CMA) is proposed to improve the performance of CMA. The proposed hybrid algorithm is formed by embeding WT-CMA in normal genetic algorithm. It uses the global convergence of genetic operator to conduct a macro-search, and conducts micro-search with WT-CMA. It obtains a better initialization weight vector in overall range with a little bit of data by the hybrid algorithm, and then gets globally optimal solution by WT-CMA. Computer simulation with underwater acoustic channel shows that GAWT-CMA' s convergence is about 9 000 times faster than CMA, about 3 000 times faster than WT-CMA, and its steady-state error is smaller than CMA by 3 dB, smaller than WT-CMA by about 1 dB.关键词
常数模算法/盲均衡/正交小波变换/遗传算法Key words
constant modulus algorithm (CMA)/blind equalization/orthogonal wavelet trans form/genetic algorithm分类
信息技术与安全科学引用本文复制引用
郭业才,樊康,徐文才,许芳..基于混合遗传优化的正交小波变换盲均衡算法[J].数据采集与处理,2011,26(5):503-507,5.基金项目
全国优秀博士学位论文作者专项资金(200753)资助项目 （200753）
安徽省高等学校自然科学基金(KJ2010A096)资助项目 （KJ2010A096）
江苏省自然科学基金(BK2009410)资助项目 （BK2009410）
江苏省高等学校自然科学基金(08KJB510010)资助项目 （08KJB510010）
江苏省六大人才高峰基金(2008026)资助项目 （2008026）
江苏省高校优势学科“传感网与现代气象装备”资助项目. （）
