Multi-parents genetic algorithm optimization scheme for linear array antenna synthesis

Abstract

This research has proposed the improved iterative generic algorithm (GA) optimization scheme by using multi-parents crossover and adaptation mutation to synthesize the radiation pattern of an aperiodic (nonuniform) linear array antenna. The aim of the iterative optimization is to achieve a radiation pattern with a side lobe level (SLL) less than or equal to -20dB. In the optimization, the proposed scheme iteratively optimizes the array range (spacing) and the number of array elements, whereby the array element with the lowest absolute complex weight coefficient is first removed and then the second lowest and so on. The removal (the element reduction) is terminated once the SLL is greater than -20dB and the elemental increment mechanism is triggered. The results indicate that the proposed iterative GA optimization scheme is applicable to the non-uniform linear array antenna and also is capable of synthesizing the radiation pattern with SLL less than or equal to -20dB.