TY - JOUR
T1 - A Novel Neural-Fuzzy Method to Search the Optimal Step Size for NLMS Beamforming
AU - Orozco-Tupacyupanqui, Walter
AU - Nakano-Miyatake, Mariko
AU - Perez-Meana, Hector
PY - 2015/2/1
Y1 - 2015/2/1
N2 - © 2003-2012 IEEE. This paper presents a novel algorithm based on neural networks and fuzzy logic to generate membership functions and search an approximation of the optimal step-size for Normalized Least Mean Squares (NLMS) beamforming systems. The proposed method makes a new error curve, Error Ensemble Learning (EEL), based on the final estimated value of the adaptive algorithm's mean-square-error. A fuzzy clustering method individually assigns membership values to each EEL curve coordinates. This information is fed into a neural network to generate membership functions for a fuzzy inference system. The final estimation of the optimal step-size is obtained using a group of Mamdani linguistic propositions and the centroid defuzzification method. Simulation results show that a useful approximation of the optimal step-size is obtained for different interference conditions; the evaluation results also show that a higher directivity is achieved in the radiation beam pattern.
AB - © 2003-2012 IEEE. This paper presents a novel algorithm based on neural networks and fuzzy logic to generate membership functions and search an approximation of the optimal step-size for Normalized Least Mean Squares (NLMS) beamforming systems. The proposed method makes a new error curve, Error Ensemble Learning (EEL), based on the final estimated value of the adaptive algorithm's mean-square-error. A fuzzy clustering method individually assigns membership values to each EEL curve coordinates. This information is fed into a neural network to generate membership functions for a fuzzy inference system. The final estimation of the optimal step-size is obtained using a group of Mamdani linguistic propositions and the centroid defuzzification method. Simulation results show that a useful approximation of the optimal step-size is obtained for different interference conditions; the evaluation results also show that a higher directivity is achieved in the radiation beam pattern.
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U2 - 10.1109/TLA.2015.7055556
DO - 10.1109/TLA.2015.7055556
M3 - Article
SN - 1548-0992
SP - 402
EP - 408
JO - IEEE Latin America Transactions
JF - IEEE Latin America Transactions
ER -