COMPARATIVE STUDY OF EVOLUTIONARY ALGORITHMS TO GENERATE FLAT-TOP BEAM PATTERN FOR SYNTHESIS OF A LINEAR ANTENNA ARRAY

Abstract

In the present paper three evolutionary algorithms are compared and discussed for synthesizing a linear array of dipole antenna of half-wavelength oriented horizontally. All the dipoles are mutually coupled and designed to radiate the flat-top beam (FTB) pattern including multiple single null steering with little ripple deviation. The adopted evolutionary algorithms are; flower pollination algorithm (FPA), firefly algorithm (FA) and back tracking search algorithm (BSA), respectively. These algorithms are then combined with an efficient Inverse Fast Fourier Transform (IFFT) for reduction in the computation of evaluating time meaningfully. The required synthesis is attained by generating the current amplitudes at 00 and 1800 using binary phase shifters for the antenna array. The performance analysis of key antenna parameters along with the statistical parameters is achieved with the help of the optimization process and compared. In this paper, the MATLAB tool is used as a validation tool and the obtained simulation results are very satisfying and acceptable.

Keywords

• antenna array
• backtracking search algorithm
• firefly algorithm
• flower pollination algorithm
• flat- beam pattern
• side lobe level
• single null placement
• ripple