DocumentCode :
2672817
Title :
The adaptive least mean square algorithm using several step size for multiuser detection
Author :
Choi, Jeong Hee ; Park, Yong Wan ; Choi, Byung Goo
Author_Institution :
Dept. of Inf. & Commun. Eng., Yeungnam Univ., South Korea
Volume :
6
fYear :
2000
fDate :
2000
Firstpage :
2822
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
Keywords :
adaptive filters; adaptive signal detection; cellular radio; code division multiple access; convergence of numerical methods; interference suppression; least mean squares methods; multiuser channels; radio receivers; radiofrequency interference; CDMA cellular radio; LMS; adaptive feedback constant step size; adaptive filtering; adaptive least mean square algorithm; convergence rate; convergence time; detector; filter coefficients; mean square error; mean-square error; multiuser detection; output information; selection block; step size; Adaptive control; Adaptive filters; Convergence; Detectors; Feedback; Filtering algorithms; Least mean square algorithms; Least squares approximation; Mean square error methods; Programmable control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2000. IEEE-VTS Fall VTC 2000. 52nd
Conference_Location :
Boston, MA
ISSN :
1090-3038
Print_ISBN :
0-7803-6507-0
Type :
conf
DOI :
10.1109/VETECF.2000.886832
Filename :
886832
Link To Document :
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