电讯技术2017，Vol.57Issue(2)：230-235,6.DOI:10.3969/j.issn.1001-893x.2017.02.018
基于数据重用的集员滤波拟仿射投影盲均衡算法
A Set-membership Like-affine-projection Blind Equalization Algorithm Based on Data Reuse
摘要
Abstract
The traditional constant modulus blind equalization algorithm is widely used but its convergence rate is very slow. In order to satisfy the channel blind equalization under short burst data condition,this pa―per proposes a set-membership like-affine-projection blind equalization algorithm based on data reuse. This algorithm introduces the idea of affine projection into constant modulus algorithm ( CMA ) and uses multiple data vectors to extract channel information. By using additional improved set-membership filtering algorithm,the proposed algorithm can effectively reduce the computational complexity. In addition,it com―bines the data reuse idea to redesign the mode of data reuse. Simulation results show that the proposed al―gorithm has a high convergence rate. Compared with other similar algorithms,the algorithm can converge to 700 points in advance,has a better performance in the channel environment of 10 dB above,and can effec―tively play the role in the short burst data channel equalization.关键词
突发信号/信道盲均衡/仿射投影/集员滤波/数据重用Key words
burst signal/channel blind equalization/affine projection/set-membership filtering/data reuse分类
信息技术与安全科学引用本文复制引用
曾乐雅,许华,王天睿..基于数据重用的集员滤波拟仿射投影盲均衡算法[J].电讯技术,2017,57(2):230-235,6.基金项目
国家自然科学基金资助项目(61001111) （61001111）
