The CAB algorithm for optimizing weight and interelement space in smart Antenna

A novel optimization technique which is developed on mimicking the collective animal behaviour (CAB) is applied for the optimal design of hyperbeam forming of linear antenna arrays. The optimized hyperbeam is achieved by optimization of current excitation weights and uniform interelement spacing. As compared to conventional hyper beam forming of linear antenna array, real coded genetic algorithm(RGA), particle swarm optimization (PSO), and differential evolution (DE) applied to the hyperbeam of the same array can achieve reduction in side lobe level (SLL) and same or less first null beam width (FNBW), keeping the same value of hyperbeam exponent. CAB finds near global optimal solution unlike RGA, PSO, and DE in the present problem.

کلیدواژه ها:

component ، :smart antenna ، hyperbeam ، cost function ، CAB algorithm ، side lobe level(SLL) ، first null beam width (FNBW)