压缩感知曲线SAR孔径优化和目标三维特征提取

摘要

在建立曲线合成孔径雷达回波信号稀疏表示模型的基础上，基于压缩感知采样矩阵设计的不相关原则，给出了曲线孔径优化设计的评价准则，并利用基于全局优化的基追踪方法实现了目标三维特征提取。仿真结果验证了孔径优化评价准则的正确性和基追踪方法在目标特征提取处理中的有效性。%The compressed sensing theory was applied to curvilinear aperture optimizing and 3-dimentional target feature extraction of curvilinear synthetic aperture radar.First,the echo signal target sparse representation model was built.Based on the incoherence principle between sparse matrix and sampling matrix of the compressed sensing theory,a guideline of evaluation to curvilinear aperture optimizing was found. Moreover,the 3-dimentional target feature extraction was realized by employing the basis pursuit method.Simulation results prove the correctness of the aperture optimization strategies with the incoherence principle as well as the efficiency of the basis pursuit method in target feature extraction.