摘要
针对常数模算法收敛速度慢的缺点,在分析基于正交小波变换盲均衡器结构和并行软判决盲均衡算法的基础上,提出一种基于正交小波变换的并行软判决盲均衡算法.该算法将正交小波变换引入到并行软判决算法中,利用正交小波变换对信号很强的去相关能力,降低信号的自相关性,以加快算法的收敛速度.水声信道仿真结果表明,与并行的软判决盲均衡算法相比,所提出的基于正交小波变换的并行软判决盲均衡算法具有更快的收敛速度.
Aiming at the slow convergence rate of constant modulus algorithm, a soft-decision blind equalization al- gorithm was proposed on the basis of orthogonal wavelet transform. The blind equalizer structure of orthogonal wave- let transform and characteristics of soft-decision blind equalization algorithm are analyzed. Then the de-correlation a- bility of orthogonal wavelet transform is utilized to reduce the signal autocorrelation, thus accelerate the convergence rate of proposed soft-decision algorithm. Simulation tests with underwater acoustic channel indicate that the proposed soft decision-directed blind equalization algorithm is improved in convergence rate compared with parallel soft deci- sion equalization algorithm.
出处
《南京信息工程大学学报（自然科学版）》
CAS
2013年第1期77-80,共4页
Journal of Nanjing University of Information Science & Technology（Natural Science Edition）
基金
江苏省自然科学基金(BK2009410)
关键词
盲均衡
正交小波变换
软判决
水声信道
blind equalization
orthogonal wavelet transform
soft-decision
underwater channel
