NDLI: A new fuzzy logic application to search the optimal step size for NLMS beamforming

Content Provider	IEEE Xplore Digital Library
Author	Orozco-Tupacyupanqui, W. Perez-Meana, H. Nakano-Miyatake, M.
Copyright Year	2015
Description	Author affiliation: Nat. Polytech. Inst., Commun. & Electron. Eng., Mexico City, Mexico (Orozco-Tupacyupanqui, W.) \|\| Mech. & Electr. Eng. Sch., Nat. Polytech. Inst., Mexico City, Mexico (Perez-Meana, H.; Nakano-Miyatake, M.)
Abstract	This paper proposes a new application based on fuzzy logic to search the optimal Step Size of the Normalized Least Mean Square (NLMS) algorithm for beamforming systems. The searching of the step size depends on the fuzzy inference results of an estimation of the final value of the cost function $(J_{E})$ instead of using its instantaneous value. The update of the step-size is performed outside of the adaptive algorithm and given it feedback by the fuzzy inference system; therefore the step-size is still fixed for the NLMS algorithm but variable for the complete searching scheme. Simulation experimental results show that a useful approximation of the optimal step-size can be obtained for different conditions of signal-to-noise plus interference ratios (SINR) and the minimization of the mean square error for the adaptive beamforming algorithm is also achieved.
Starting Page	1
Ending Page	6
File Size	358227
Page Count	6
File Format	PDF
e-ISBN	9781479984985
DOI	10.1109/TSP.2015.7296416
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-09
Publisher Place	Czech Republic
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Array signal processing Communication systems Smart antennas Signal processing algorithms Adaptive linear array Interference Fuzzy inference systems Approximation algorithms Normalized least mean square (NLMS) algorithm Signal to noise ratio Convergence
Content Type	Text
Resource Type	Article

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