Sparse 2D array design optimization for imaging systems using genetic algorithm

This work shows a method to find the optimal configuration of a sparse symmetric 2D array for multi-static imaging in security systems once a set of configuration parameters (such as number of radiating elements, operating frequency range, standoff distance to the imaging target, etc...) have been selected. Advanced electromagnetic simulation algorithms based on Physical Optics and Genetic Algorithm as an optimization tool are used. The simulation results to validate the performance of the proposed methodology and architecture are provided.