Optimizing multiple interference cancellations of linear phase array based on particle swarm optimization

Chao Hsing Hsu, Wen-Jye Shyr, Kun Huang Kuo

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)


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 languageEnglish
Pages (from-to)292-300
Number of pages9
JournalJournal of Information Hiding and Multimedia Signal Processing
Issue number4
Publication statusPublished - 2010 Oct 1

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition

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