TY - GEN
T1 - A new fuzzy logic application to search the optimal step size for NLMS beamforming
AU - Orozco-Tupacyupanqui, Walter
AU - Perez-Meana, Hector
AU - Nakano-Miyatake, Mariko
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/10/9
Y1 - 2015/10/9
N2 - 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 (JE) 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.
AB - 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 (JE) 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.
KW - Adaptive linear array
KW - communication systems
KW - fuzzy inference systems
KW - normalized least mean square (NLMS) algorithm
KW - smart antennas
UR - http://www.scopus.com/inward/record.url?scp=84960158883&partnerID=8YFLogxK
U2 - 10.1109/TSP.2015.7296416
DO - 10.1109/TSP.2015.7296416
M3 - Contribución a la conferencia
AN - SCOPUS:84960158883
T3 - 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015
BT - 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015
A2 - Molnar, Karol
A2 - Herencsar, Norbert
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015
Y2 - 9 July 2015 through 11 July 2015
ER -