Optimal cross-range pattern synthesis using multi-objective genetic algorithm for a passive antenna in small satellite SAR

In synthetic aperture radar application, image artifacts due to azimuthal ambiguity, not-uniform main lobe antenna gain are common. They can be reduced to a certain extent by synthesizing the appropriate antenna pattern in cross-range direction. Our small satellite mission "microXSAR" carries an X-Band SAR instrument as payload, with a waveguide fed passive antenna. In this paper we describe the synthesis of the cross-range pattern of the SAR antenna by treating it as a multi-objective optimization problem. We use non-dominated sorting algorithm NSGA-II as the optimization algorithm. The result is a pareto-curve giving all possible non-dominated solutions.