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题名: A VSLMS Style Tap-length Learning Algorithm for Structure Adaptation
作者: Yu, HM;  Liu, ZL;  Li, GS
出版日期: 2008
会议日期: NOV 19-21, 2008
摘要: Compared with the ordinary adaptive filter, the variable-length adaptive filter is more efficient (including smaller., lower power consumption and higher computational complexity output SNR) because of its tap-length learning algorithm, which is able to dynamically adapt its tap-length to the optimal tap-length that best balances the complexity and the performance of the adaptive filter. Among existing tap-length algorithms, the LMS-style Variable Tap-Length Algorithm (also called Fractional Tap-Length Algorithm or FT Algorithm) proposed by Y.Gong has the best performance because it has the fastest convergence rates and best stability. However, in some cases its performance deteriorates dramatically. To solve this problem, we first analyze the FT algorithm and point out some of its defects. Second, we propose a new FT algorithm called 'VSLMS' (Variable Step-size LMS) Style Tap-Length Learning Algorithm, which not only uses the concept of FT but also introduces a new concept of adaptive convergence slope. With this improvement the new FT algorithm has even faster convergence rates and better stability. Finally, we offer computer simulations to verify this improvement.
会议名称: 11th IEEE Singapore International Conference on Communication Systems
会议文集: 2008 11TH IEEE SINGAPORE INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS (ICCS)
专题: 中国科学院半导体研究所(2009年前)_会议论文

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推荐引用方式:
Yu, HM;Liu, ZL;Li, GS.A VSLMS Style Tap-length Learning Algorithm for Structure Adaptation .见:IEEE .2008 11TH IEEE SINGAPORE INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS (ICCS),345 E 47TH ST, NEW YORK, NY 10017 USA ,2008,VOLS 1-3: 503-508
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