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 language | English |
|---|---|
| Pages (from-to) | 113-118 |
| Number of pages | 6 |
| Journal | ICIC Express Letters, Part B: Applications |
| Volume | 1 |
| Issue number | 2 |
| Publication status | Published - 2010 Dec 1 |
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All Science Journal Classification (ASJC) codes
- Computer Science(all)
Cite this
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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 journal › Article
TY - JOUR
T1 - Multiple interference cancellations of linear adaptive array antenna using Amplitude-Phase Perturbations based on particle swarm optimization
AU - Hsu, Chao Hsing
AU - Chen, Chun Hua
AU - Kuo, Kun Huang
AU - Shyr, Wen Jye
AU - Chung, Yi Nung
AU - Lin, Tsung Chih
PY - 2010/12/1
Y1 - 2010/12/1
N2 - 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
AB - 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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M3 - Article
AN - SCOPUS:78650228975
VL - 1
SP - 113
EP - 118
JO - ICIC Express Letters, Part B: Applications
JF - ICIC Express Letters, Part B: Applications
SN - 2185-2766
IS - 2
ER -