Linear array synthesis using Schelkunoff polynomial method and particle swarm optimization

Author

Banerjee, Smita ; Dwivedi, Ved Vyas

Author_Institution

Sch. of Eng., EC Dept., RK Univ., Rajkot, India

fYear

2015

fDate

19-20 March 2015

Firstpage

727

Lastpage

730

Abstract

Particle Swarm Optimization (PSO) Algorithm with the Schelkunoff polynomial method (SPM) is used to synthesize the linear array. The problem of interference suppression in antenna array is done by Schelkunoff polynomial method. After that PSO algorithm is used to the control the side lobe level (SLL) reduction of the array pattern. It has been demonstrated that the complexity of the optimization problem is reduced by this technique. The simulated results shows proper null placement, reduction in SLL and beamforming capability.

Keywords

antenna radiation patterns; array signal processing; electromagnetic wave interference; interference suppression; linear antenna arrays; particle swarm optimisation; polynomials; PSO algorithm; SPM; Schelkunoff polynomial method; array pattern SLL reduction; beamforming capability; interference suppression problem; linear antenna array synthesis; null placement; particle swarm optimization algorithm; side lobe level reduction; Adaptive arrays; Antenna radiation patterns; Arrays; Linear antenna arrays; Optimization; Polynomials; Adaptive linear antenna array; PSO; SPM; null assignment; side lobe level;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in

Conference_Location

Ghaziabad

Type

conf

DOI

10.1109/ICACEA.2015.7164785

Filename

7164785