NDLI: The adaptive least mean square algorithm using several step size for multiuser detection

Content Provider	IEEE Xplore Digital Library
Author	Byung Goo Choi Yong Wan Park Jeong Hee Choi
Copyright Year	2000
Description	Author affiliation: Dept. of Inf. & Commun. Eng., Yeungnam Univ., South Korea (Byung Goo Choi)
Abstract	In this paper, we introduce a LMS (least mean square) algorithm with a modified step size for adaptive filtering. An adaptive feedback constant step size in the LMS algorithm controls the convergence rate of the filter coefficients but also determines the final mean-square error. Since the convergence time is inversely proportional to step size, a large step size is often selected for fast convergence. This selection, however, results in an increased mean square error. The proposed detector uses the LMS algorithm with three different step size to obtain low mean square error and fast convergence. In this structure, errors which are obtained from each group are compared, and a minimum error is chosen to the selection block. In several step size LMS algorithms, filter coefficients for each group are upgraded using the output information of the selection block respectively. The advantages of this detector are that convergence time is fast, and that mean square error is low. However this detector has a defect that hardware complexity is increased.
Starting Page	2822
Ending Page	2825
File Size	505456
Page Count	4
File Format	PDF
ISBN	0780365070
ISSN	10903038
DOI	10.1109/VETECF.2000.886832
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-09-24
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Least mean square algorithms Convergence Least squares approximation Mean square error methods Detectors Adaptive filters Filtering algorithms Programmable control Adaptive control Feedback
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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