Abstract
In this paper, a novel optimization method based on the particle swarm optimization (PSO) algorithm for the multiple interference cancellation design of a linear phase array is proposed. A linear phase array is a linear array antenna with phase-only perturbations. Adaptive array antenna is able to suppress the interferences in the interfering directions by using optimization techniques so that it can increase the Signal to Interference Ratio (SIR). The particle swarm optimization can solve combinatorial optimization problems. The particle swarm optimization is applied to nd the weighting vector, which makes the pattern nulling optimization of the proposed adaptive antenna. This PersonNametechnique is also able to do the cancellation of multiple interferences for different incident directions in practical wireless communication systems. One example is provided to manifest demonstrate the proposed phase-only perturbations approach based on particle swarm optimization. Simulation example demonstrates the effectiveness of the proposed method in this paper.
| Original language | English |
|---|---|
| Pages (from-to) | 292-300 |
| Number of pages | 9 |
| Journal | Journal of Information Hiding and Multimedia Signal Processing |
| Volume | 1 |
| Issue number | 4 |
| Publication status | Published - 2010 Oct 1 |
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All Science Journal Classification (ASJC) codes
- Software
- Computer Vision and Pattern Recognition
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Optimizing multiple interference cancellations of linear phase array based on particle swarm optimization. / Hsu, Chao Hsing; Shyr, Wen-Jye; Kuo, Kun Huang.
In: Journal of Information Hiding and Multimedia Signal Processing, Vol. 1, No. 4, 01.10.2010, p. 292-300.Research output: Contribution to journal › Article
TY - JOUR
T1 - Optimizing multiple interference cancellations of linear phase array based on particle swarm optimization
AU - Hsu, Chao Hsing
AU - Shyr, Wen-Jye
AU - Kuo, Kun Huang
PY - 2010/10/1
Y1 - 2010/10/1
N2 - In this paper, a novel optimization method based on the particle swarm optimization (PSO) algorithm for the multiple interference cancellation design of a linear phase array is proposed. A linear phase array is a linear array antenna with phase-only perturbations. Adaptive array antenna is able to suppress the interferences in the interfering directions by using optimization techniques so that it can increase the Signal to Interference Ratio (SIR). The particle swarm optimization can solve combinatorial optimization problems. The particle swarm optimization is applied to nd the weighting vector, which makes the pattern nulling optimization of the proposed adaptive antenna. This PersonNametechnique is also able to do the cancellation of multiple interferences for different incident directions in practical wireless communication systems. One example is provided to manifest demonstrate the proposed phase-only perturbations approach based on particle swarm optimization. Simulation example demonstrates the effectiveness of the proposed method in this paper.
AB - In this paper, a novel optimization method based on the particle swarm optimization (PSO) algorithm for the multiple interference cancellation design of a linear phase array is proposed. A linear phase array is a linear array antenna with phase-only perturbations. Adaptive array antenna is able to suppress the interferences in the interfering directions by using optimization techniques so that it can increase the Signal to Interference Ratio (SIR). The particle swarm optimization can solve combinatorial optimization problems. The particle swarm optimization is applied to nd the weighting vector, which makes the pattern nulling optimization of the proposed adaptive antenna. This PersonNametechnique is also able to do the cancellation of multiple interferences for different incident directions in practical wireless communication systems. One example is provided to manifest demonstrate the proposed phase-only perturbations approach based on particle swarm optimization. Simulation example demonstrates the effectiveness of the proposed method in this paper.
UR - http://www.scopus.com/inward/record.url?scp=79952557849&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79952557849&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:79952557849
VL - 1
SP - 292
EP - 300
JO - Journal of Information Hiding and Multimedia Signal Processing
JF - Journal of Information Hiding and Multimedia Signal Processing
SN - 2073-4212
IS - 4
ER -