Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/2650
Title: Hybrid evolutionary algorithm based beamforming for smart antenna system
Authors: Rao, Amara Prakasa
Sarma, N.V.S.N
Keywords: Beamforming;
Genetic algorithm (GA);
Issue Date: 2013
Publisher: International Journal of Electronics Letters
Citation: 10.1080/00207217.2013.859304
Abstract: In this paper, a Hybrid evolutionary algorithm is applied to control the smart antenna patterns satisfying certain constrains like steering the main beam towards a signal of interest, placement of deep nulls in the directions of undesired signals, etc. In adaptive beamforming arrays, using Least Mean Square (LMS) algorithm alone suffered the problem of getting stuck at local minima and converging after large number of iterations. A Genetic algorithm (GA) is a global optimisation technique. The combination of LMS and GA can explore the large optimisation function surface than the individual resulting in faster convergence to global minimum. Simulation results are presented to illustrate the performance of the Hybrid approach.
Description: NITW
URI: http://localhost:8080/xmlui/handle/123456789/2650
Appears in Collections:Electronics and Communications Engineering

Files in This Item:
File Description SizeFormat 
Hybrid evolutionary algorithm based beamforming for smart antenna system.pdf665.43 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.