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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2013, Vol. 34 ›› Issue (8): 1944-1952.doi: 10.7527/S1000-6893.2013.0117

• Electronics and Control • Previous Articles     Next Articles

Improved Multi-objective Particle Swarm Optimization Algorithm for Synthesizing Conformal Arrays with Excitations Restricted

ZHAO Fei1,2, CHAI Shunlian2, YE Liangfeng2, QI Huiying2, MAO Junjie2   

  1. 1. Southwest Electronics and Telecommunication Technology Research Institute, Chengdu 610041, China;
    2. College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China
  • Received:2012-10-11 Revised:2013-01-21 Online:2013-08-25 Published:2013-03-27

Abstract:

For the purpose of power pattern synthesis for conformal arrays with excitations restricted, an improved multi-objective particle swarm optimization (IMOPSO) algorithm is proposed. By applying this IMOPSO algorithm, the original problem can be transformed into a multi-objective optimization problem in which excitation optimization and power pattern synthesis are considered at the same time. By introducing multi-subgroup optimization, particle focused distance selection, Pareto solution set cutting, and a new particle copy mechanism, the performance of the IMOPSO algorithm is improved significantly as compared with the traditional multi-objective particle swarm optimization (MOPSO) algorithm. Moreover, IMOPSO algorithm is applied to synthesizing multiple-pattern in 12-element microstrip cyclinder sector conformal array in non-equatorial plane successfully, and a set of power patterns with different excitation restrictions for microstrip conformal arrays is achieved by IMOPSO algorithm, with the mutual coupling and polarizing deterioration of the elements considered. This offers a valuable reference for designing feed strategies of conformal phased array conformal phased array.

Key words: conformal antenna array, multi-objective particle swarm optimization, pattern synthesis, excitation restricted, mutual coupling

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