Adaptive Channel Estimation Based on an Improved Norm-Constrained Set-Membership Normalized Least Mean Square Algorithm
Joint Authors
Li, Yingsong
Jin, Zhan
Wang, Yanyan
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-11
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
An improved norm-constrained set-membership normalized least mean square (INCSM-NLMS) algorithm is proposed for adaptive sparse channel estimation (ASCE).
The proposed INCSM-NLMS algorithm is implemented by incorporating an lp-norm penalty into the cost function of the traditional set-membership normalized least mean square (SM-NLMS) algorithm, which is also denoted as lp-norm penalized SM-NLMS (LPSM-NLMS) algorithm.
The derivation of the proposed LPSM-NLMS algorithm is given theoretically, resulting in a zero attractor in its iteration.
By using this proposed zero attractor, the convergence speed is effectively accelerated and the channel estimation steady-state error is also observably reduced in comparison with the existing popular SM-NLMS algorithms for estimating exact sparse multipath channels.
The estimation behaviors are investigated via a typical sparse wireless multipath channel, a typical network echo channel, and an acoustic channel.
The computer simulation results show that the proposed LPSM-NLMS algorithm is better than those corresponding sparse SM-NLMS and traditional SM-NLMS algorithms when the channels are exactly sparse.
American Psychological Association (APA)
Li, Yingsong& Jin, Zhan& Wang, Yanyan. 2017. Adaptive Channel Estimation Based on an Improved Norm-Constrained Set-Membership Normalized Least Mean Square Algorithm. Wireless Communications and Mobile Computing،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1206208
Modern Language Association (MLA)
Li, Yingsong…[et al.]. Adaptive Channel Estimation Based on an Improved Norm-Constrained Set-Membership Normalized Least Mean Square Algorithm. Wireless Communications and Mobile Computing No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1206208
American Medical Association (AMA)
Li, Yingsong& Jin, Zhan& Wang, Yanyan. Adaptive Channel Estimation Based on an Improved Norm-Constrained Set-Membership Normalized Least Mean Square Algorithm. Wireless Communications and Mobile Computing. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1206208
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1206208