基于正交小波变换的超指数迭代盲均衡器设计与仿真

Design and Simulation of Super-Exponential Iterative Blind Equalizer Based on Orthogonal Wavelet Transform

针对常数模(Constant Modulus Algorithm,CMA)算法收敛速度慢、稳态误差大的特点,在分析超指数迭代(Super-Exponentia lIterative,SEI)算法的基础上,结合正交小波变换理论,提出了基于正交小波变换的超指数迭代盲均衡器设计方法。该方法充分利用SEI算法对数据白化作用和正交小波变换良好的去相关性能,加快了收敛速度、减小了稳态误差。时变信道盲均衡仿真结果,验证了该方法的有效性。

For greatly overcoming the slow convergent rate and higher Mean Square Error （MSE） of Constant Modulus Algorithm （CMA）, a Super-Exponential lterative blind equalizer Based on Orthogonal Wavelet Transform （WT-SEI） was proposed on the basis of analyzing the futures of orthogonal wavelet transform and Super-Exponential Iterative （SEI） algorithm. The convergent rate of the proposed algorithm could be improved and its MSE could be reduced using the de-correlation ability of orthogonal wavelet transform and the whiten ability of SEI algorithm. The efficiency of the proposed algorithm is proved by computer simulation with time-varying channels.