Research on thinned antenna array of spaceborne SAR

This paper presents a novel mixed genetic algorithm - active mutating anneal genetic algorithm (AMAGA) based on sorting and describes the part elements density weighting thinning method for the spaceborne synthetic aperture radar (SAR) antenna. This method can not only reduce the antenna load weight and cost with the same beam width, but also can control the sparse rate. Moreover, the maximum relative sidelobe is also improved best. In comparison with the full elements density weighting method, the former is more realizable and flexible. Simulations in this paper can show lower sidelobes than the uniform arrays.