NDLI: Wide null beamforming using Enhanced Particle Swarm optimization

Content Provider	IEEE Xplore Digital Library
Author	Mangoud, M.A. Elragal, H.M.
Copyright Year	2009
Description	Author affiliation: Department of Electrical and Electronics Engineering, University of Bahrain, P.O.Box 32038, Isa Town, Kingdom of Bahrian, Bahrain (Mangoud, M.A.; Elragal, H.M.)
Abstract	In this paper, Enhanced Practical Swarm Optimization (EPSO) algorithm is proposed to be applied for pattern synthesis of linear arrays. Updating formulas of global best particle position and velocity are modified to improve the convergence accuracy of classical Practical Swarm Optimization. The developed EPSO is tested and compared with a standard benchmark to be validated as an efficient optimization tool for beamforming applications. Different numerical examples are presented to illustrate the capability of EPSO for pattern synthesis with a prescribed wide null locations and depth. Direct weights perturbations approach are considered to obtain adaptive wide null steering subject to peak Side lobe level and minimum main beam width constraints. Starting from initial chebyshev pattern, single or multiple wide nulls are achieved by optimum perturbations of elements current amplitude or complex weights to have either symmetric or asymmetric nulls about the main beam. Proper formation of the cost function is presented for all case studies as a key factor to include the pattern constraints in the optimization process.
Starting Page	159
Ending Page	162
File Size	695509
Page Count	4
File Format	PDF
ISBN	9781424455317
e-ISBN	9781424455331
DOI	10.1109/MICC.2009.5431487
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-15
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interference suppression Phased arrays Ant colony optimization Shape control Array signal processing Cost function Systolic arrays Linear antenna arrays Particle swarm optimization Antenna radiation patterns
Content Type	Text
Resource Type	Article

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