Super-Exponential Iterative Blind Equalization Algorithm Based on Orthogonal Wavelet Packet Transform

摘要：

In order to overcome the slow convergence rate and large mean square error (MSE) of Constant Modulus Algorithm (CMA),an equalizer and its output are expressed by a family of orthogonal wavelet packet functions.Then,a Super-Exponential Iterative Blind Equalization Algorithm Based on Orthogonal Wavelet Packet Transform (WPT-SEI) is proposed ,via the analyzing of the futures of wavelet packet transform and Super-Exponential Iterative algorithm (SEI).The convergence rate of the proposed algorithm can be improved via full using the de-correlation ability of orthogonal wavelet packet transform and the whiten ability of SEI.And the computational complexity increases a litter for the fast wavelet packet transform.The efficiency of the proposed algorithm is proved by computer simulation in underwater acoustic channels.

关键词： blind equalization underwater acoustic channels orthogonal wavelet packet transform SEI convergence rate

作者: Yang Chao Guo Ye-cai Zhu Jie

作者单位: Collage of Electrical Engineering and Information,Anhui University of Science and Technology,Huainan Collage of Electrical Engineering and Information,Anhui University of Science and Technology,Huainan

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）