QUANTUM PARTICLE SWARM OPTIMIZATION FOR SYNTHESIS OF NON-UNIFORMLY SPACED LINEAR ARRAYS WITH BROADBAND FREQUENCY INVARIANT PATTERN

Authors

  • Hemant Patidar
  • Gautam Kumar Mahanti
  • R Muralidharan

DOI:

https://doi.org/10.1590/2179-10742017v16i3790

Keywords:

Broadband array, frequency invariant pattern, first null beam width, quantum particle swarm optimization, side lobe level, firefly algorithm

Abstract

This paper describes a method using Quantum Particle Swarm Optimization to obtain a broadband frequency invariant pattern for synthesis of nonuniformly spaced linear array of isotropic antennas. Two cases related to this work using QPSO have been studied, namely, in the first case, the generated frequency invariant far-field pattern is broadside in the vertical plane and in the second case, the far-field frequency invariant pattern is scanned in a particular direction. An effort is made such that the side lobe level and first null beam widths of the patterns are made similar to their related desired values. The two cases are presented in this paper to show the effectiveness of the proposed method in achieving the desired specifications. Even though, the developed method is utilized here for a linear array of isotropic antennas; it can be extended to other type of arrays.

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Published

2017-08-01

How to Cite

Hemant Patidar, Gautam Kumar Mahanti, & R Muralidharan. (2017). QUANTUM PARTICLE SWARM OPTIMIZATION FOR SYNTHESIS OF NON-UNIFORMLY SPACED LINEAR ARRAYS WITH BROADBAND FREQUENCY INVARIANT PATTERN. Journal of Microwaves, Optoelectronics and Electromagnetic Applications (JMOe), 16(3), 602–614. https://doi.org/10.1590/2179-10742017v16i3790

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Regular Papers