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.
SAR Mixed genetic algorithm Part elements density weighted array Sparse rate
Hui Xu Jian-Xin Li
The 14th Research Institute,CETC,Nanjing 210013,China
国际会议
首届亚太合成孔径雷达会议(1st Asian and Pacific Conference on Synthetic Aperture Radar Proceedings)
安徽黄山
英文
2007-11-05（万方平台首次上网日期，不代表论文的发表时间）