Application of a comprehensive learning particle swarm optimizer to unequally spaced linear array synthesis with sidelobe level suppression and null control

Sotirios K. Goudos, Vasiliki Moysiadou, Theodoros Samaras, Katherine Siakavara, John N. Sahalos

Research output: Contribution to journalArticle

97 Citations (Scopus)

Abstract

We present unequally spaced linear array synthesis with sidelobe suppression under constraints to beamwidth and null control using a design technique based on a Comprehensive Learning Particle Swarm Optimizer (CLPSO). CLPSO utilizes a new learning strategy that achieves the goal to accelerate the convergence of the classical PSO. Numerical examples are compared to the existing array designs in the literature and to those found by the other evolutionary algorithms. The synthesis examples that are presented show that the CLPSO algorithm outperforms the common PSO algorithms and a real-coded genetic algorithm (GA).

Original languageEnglish
Article number5424003
Pages (from-to)125-129
Number of pages5
JournalIEEE Antennas and Wireless Propagation Letters
Volume9
DOIs
Publication statusPublished - 2010

Keywords

  • Array synthesis
  • Comprehensive learning particle swarm optimizer (CLPSO)
  • Genetic algorithms (GAs)
  • Linear array design
  • Null control
  • Particle swarm optimization (PSO)
  • Sidelobe suppression

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