Fast Converging Nonlinear Echo Cancellation Based On Optimum Step Size

被引：3
|
作者：
Shih, Chia-Sheng [1 ]
Hsieh, Shih-Fu [1 ]
机构：
[1] Natl Chiao Tung Univ, Dept Elect Engn, Hsinchu 300, Taiwan
来源：
2009 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT 2009) | 2009年
关键词：
Adaptive filtering; Nonlinear Identification;
D O I：
10.1109/ISSPIT.2009.5407533
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Adaptive Volterra filter is generally known to track nonlinear echo path at slow convergence rate. An optimum time- and tap- variant step-size for second-order Volterra filter is proposed to speed up its convergence rate. The step-size is derived based on the MMSE criterion. As the optimum step-size needs to know the real echo path coefficient, an exponential echo-path model is proposed for practical implementations. Computer simulations are provided to validate the proposed algorithms.
引用
收藏
页码：135 / 139
页数：5
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