Title :
Optimizing Beam Pattern of Linear Adaptive Phase Array Antenna Based on Particle Swarm Optimization
Author :
Hsu, Chao-Hsing ; Chen, Chun-Hua ; Shyr, Wen-Jye ; Kuo, Kun-Huang ; Chung, Yi-Nung ; Lin, Tsung-Chih
Author_Institution :
Dept. of Comput. & Commun. Eng., Chienkuo Technol. Univ., Changhua, Taiwan
Abstract :
In this paper, an innovative optimal radiation pattern of an adaptive linear array is derived by phase-only perturbations using a Particle Swarm Optimization (PSO) algorithm. An antenna array is often made as an adaptive antenna. An optimal radiation pattern design for an adaptive antenna system is not only to suppress interference by placing a null in the direction of the interfering source but also to derive the maximum power pattern in the direction of the desired signal. The Signal Interference Ratio (SIR) can be maximized. The PSO algorithm is a new methodology in this study area, which can handle adaptive radiation pattern of antenna array. In this paper, an optimal radiation pattern of linear array is derived by phase-only perturbations using a PSO algorithm. PSO algorithms will be stated and computed for this problem. Then, the optimal solution can be derived, and simulation results are also presented in this paper.
Keywords :
adaptive antenna arrays; antenna radiation patterns; interference suppression; linear antenna arrays; particle swarm optimisation; PSO algorithm; beam pattern optimization; interference suppression; linear adaptive phase array antenna; optimal radiation pattern; particle swarm optimization; phase-only perturbations; signal interference ratio; Adaptive arrays; Algorithm design and analysis; Antenna radiation patterns; Arrays; Directive antennas; Interference; Particle swarm optimization; Adaptive antenna; Optimal radiation pattern; Particle Swarm Optimization; SIR; phase-only perturbation;
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-8891-9
Electronic_ISBN :
978-0-7695-4281-2
DOI :
10.1109/ICGEC.2010.150