A VSLMS Style Tap-length Learning Algorithm for Structure Adaptation

SEMI OpenIR > 中国科学院半导体研究所（2009年前）

	A VSLMS Style Tap-length Learning Algorithm for Structure Adaptation
	Yu, HM; Liu, ZL; Li, GS; Yu, HM, Chinese Acad Sci, Inst Semicond, Beijing 100083, Peoples R China.
	2008
会议名称	11th IEEE Singapore International Conference on Communication Systems
会议录名称	2008 11TH IEEE SINGAPORE INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS (ICCS)
页码	VOLS 1-3: 503-508
会议日期	NOV 19-21, 2008
会议地点	Guangzhou, PEOPLES R CHINA
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
出版者	IEEE
ISBN	978-1-4244-2423-8
部门归属	[yu, hongmin; liu, zhongli] chinese acad sci, inst semicond, beijing 100083, peoples r china
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.
关键词	Adaptive Filter Equalizer Structure Adaptive Fractional Tap-length
学科领域	微电子学
主办者	IEEE.
收录类别	CPCI-S
语种	英语
文献类型	会议论文
条目标识符	http://ir.semi.ac.cn/handle/172111/8242
专题	中国科学院半导体研究所（2009年前）
通讯作者	Yu, HM, Chinese Acad Sci, Inst Semicond, Beijing 100083, Peoples R China.
推荐引用方式 GB/T 7714	Yu, HM,Liu, ZL,Li, GS,et al. A VSLMS Style Tap-length Learning Algorithm for Structure Adaptation[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2008:VOLS 1-3: 503-508.

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