MPSO-MOM: A Hybrid Modified Particle Swarm Optimization and Method of Moment Algorithm for Smart Antenna Synthesis

Abstract

In this article, a modified version of particle swarm optimization (MPSO) and the method of moment (MOM) are combined to achieve the beamforming objective of a practical smart antenna array. The hybrid approach (MPSO–MOM) is illustrated by application to a planar uniform circular array (PUCA) with 30 elements of half-wave dipoles. The array feeding is optimized by MPSO, and the fitness function is evaluated by MOM simulations. The MOM is used to calculate the response of the array in a mutual coupling environment. The performance of the adaptive array using discrete (quantized) feedings is studied. Also in this article, the convergence capability of the MPSO is compared with that of the classical particle swarm optimization and other recent evolutionary-based algorithms using benchmark examples and a linear array synthesis problem.

Keywords:

• evolutionary algorithms
• MPSO algorithm
• adaptive beamforming
• PUCA
• mutual coupling
• MOM

Notes

^a The coordinates are normalized with respect to λ/2.

^b Rajo-Iglesias and Quevedo-Teruel (2007).

^c Khodier and Christodoulou (2005).

^d Bataineh and Ababneh (2006).

^e Jin and Rahmat-Samii (2007).