CONSTRAINT-BASED SYNTHESIS OF LINEAR ANTENNA ARRAY USING MODIFIED INVASIVE WEED OPTIMIZATION

This paper presents a novel technique for the synthesis of unequally spaced linear antenna array. The modifled Invasive Weed Optimization (IWO) algorithm is applied to optimize the antenna element positions for suppressing peak side lobe level (PSLL) and for achieving nulls in specifled directions. The novelty of the proposed approach is in the application of a constraint-based static penalty function during optimization of the array. The static penalty function is able to put selective pressure on the PSLL, the flrst null beam width (FNBW) or the accurate null positioning as desired by the application at hand lending a high degree of ∞exibility to the synthesis process. Various design examples are considered and the obtained results are validated by comparing with the results obtained using Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO) and Cat Swarm Optimization (CSO). Results demonstrate that the proposed method outperforms the previously published methods in terms of a signiflcant reduction in peak side lobe level while maintaining strong nulls in desired directions. The ∞exibility and ease of implementation of the modifled IWO algorithm in handling the constraints using static penalty function is evident from this analysis, showing the usefulness of the constraint based method in electromagnetic optimization problems.