Multiple interference cancellations of linear adaptive array antenna using Amplitude-Phase Perturbations based on particle swarm optimization

Chao Hsing Hsu, Chun Hua Chen, Kun Huang Kuo, Wen Jye Shyr, Yi Nung Chung, Tsung Chih Lin

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

In this paper, a novel optimization method based on the particle swarm optimization (PSO) algorithm is proposed for the multiple interference cancellation design of linear adaptive array antenna using Amplitude-Phase Perturbations. An adaptive array antenna can suppress the interferences in the interfering directions by using optimization techniques in its adaptive array factor (AF) so as to increase the Signal to Interference Ratio (SIR). The PSO is used to solve combinatorial optimization problems. The PSO is applied to find the weighting vector of AF, which makes the pattern nulling optimization of the proposed adaptive antenna. This technique can also implement the cancellation of multiple interferences for different incident directions in practical wireless communication systems. Simulation example demonstrates the excellent effectiveness of the proposed method. ICIC International

Original languageEnglish
Pages (from-to)113-118
Number of pages6
JournalICIC Express Letters, Part B: Applications
Volume1
Issue number2
Publication statusPublished - 2010 Dec 1

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Smart antennas
Particle swarm optimization (PSO)
Combinatorial optimization
Communication systems
Antennas

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cite this

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abstract = "In this paper, a novel optimization method based on the particle swarm optimization (PSO) algorithm is proposed for the multiple interference cancellation design of linear adaptive array antenna using Amplitude-Phase Perturbations. An adaptive array antenna can suppress the interferences in the interfering directions by using optimization techniques in its adaptive array factor (AF) so as to increase the Signal to Interference Ratio (SIR). The PSO is used to solve combinatorial optimization problems. The PSO is applied to find the weighting vector of AF, which makes the pattern nulling optimization of the proposed adaptive antenna. This technique can also implement the cancellation of multiple interferences for different incident directions in practical wireless communication systems. Simulation example demonstrates the excellent effectiveness of the proposed method. ICIC International",
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Multiple interference cancellations of linear adaptive array antenna using Amplitude-Phase Perturbations based on particle swarm optimization. / Hsu, Chao Hsing; Chen, Chun Hua; Kuo, Kun Huang; Shyr, Wen Jye; Chung, Yi Nung; Lin, Tsung Chih.

In: ICIC Express Letters, Part B: Applications, Vol. 1, No. 2, 01.12.2010, p. 113-118.

Research output: Contribution to journalArticle

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