THE DEVELOPMENT OF A NOVEL ANTENNA ARRAY SYNTHESIS TECHNIQUE
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An antenna is the back bone of the wireless communication. It is mainly used to transmit and
receive signal. An antenna array is a group of radiators whose currents are of either same or different
amplitudes and phases. The presence of large side lobe radiation beam levels of an antenna is undesirable
as the antenna performance and efficiency will be greatly degraded. Antenna structures especially in array
arrangements have the capability to provide interference reduction.
In this paper, the Particle Swarm Optimization algorithm is utilized to optimize amplitude and
phase excitations of uniformly spaced Linear and Planar array antenna with isotropic Point Source as unit
elements. The cost function of Particle Swarm Optimization algorithm is maximum reduction in side lobe
level. The Particle Swarm Optimization algorithm finds the optimum amplitude and Phase excitations of
the antenna array elements to provide the radiation pattern with maximum reduction in the side lobe level.
The results show the e effectiveness of the amplitude excitations and phase excitations on the overall
performance of the array and also design of antenna arrays using the Particle Swarm Optimization method
provides considerable enhancements and the synthesis obtained from other optimization technique like