Optimization of side lobe level of linear antenna array using nature optimized ants bridging solutions(NOABS)

TL;DR

This paper applies a nature-inspired optimization algorithm, NOABS, to design a linear antenna array with reduced side lobes and improved radiation characteristics, demonstrating the effectiveness of bio-inspired methods in antenna design.

Contribution

It introduces the novel NOABS algorithm for optimizing antenna array radiation patterns, specifically targeting side lobe level reduction.

Findings

NOABS effectively reduces side lobes in the antenna array.

Optimized array shows improved radiation characteristics.

Simulation results validate the algorithm's performance.

Abstract

Nature inspired algorithms has brought solutions to complex problems in optimization where the optimization and solution of complex problems is highly complex and nonlinear. There is a need to use proper design of the cost function or the fitness function in terms of the parameters to be optimized, this can be used in solving any type of such problems. In this paper the nature inspired algorithms has played important role in the optimal design of antenna array with improved radiation characteristics. In this paper, 20 elements linearly spaced array is used as an example of nature inspired optimization in antenna array system. This bridge inspired army ant algorithm(NOABS) is used to reduce the side lobes and to improve the other radiation characteristics to show the effect of the optimization on design characteristics by implementation of NOABS nature inspired algorithm. The entire simulation is carried out on 20 elements linear antenna array.