基于多通道联合稀疏重建的全极化SAR成像

发布时间：2018-06-02 12:03

本文选题：合成孔径雷达 + 全极化　；参考：《仪器仪表学报》2017年05期

【摘要】：全极化合成孔径雷达(SAR)可对不同极化通道分别独立进行压缩感知(CS)稀疏重建来增强成像性能,但分别独立处理没有利用极化信息的冗余性与互补性,有可能破坏极化信息的完整性。依据雷达目标在全极化下的散射特性构建联合稀疏度量函数,将全极化SAR高分辨成像转化为多通道联合稀疏约束的最优化重建问题,并用改进的正交匹配追踪算法进行求解。由于有效利用全极化信息,多通道联合CS成像相比于单通道CS成像能够获得更好的成像质量,还能全面准确反映目标全极化散射特性。通过对Backhoe挖掘机电磁仿真数据的处理,验证了算法的有效性,并且在微波暗室搭建了全极化SAR半实物仿真系统,利用其获取的全极化实测数据进一步验证了该方法的工程可行性。
[Abstract]:Fully polarized synthetic Aperture Radar (SAR) can perform compression sensing CSR sparse reconstruction of different polarization channels independently to enhance the imaging performance, but independent processing does not make use of the redundancy and complementarity of polarization information. It is possible to destroy the integrity of polarization information. According to the scattering characteristics of radar targets under full polarization, the joint sparse metric function is constructed, and the high resolution imaging of fully polarized SAR is transformed into an optimal reconstruction problem with multi-channel joint sparse constraints, which is solved by an improved orthogonal matching tracking algorithm. Because of the effective use of fully polarized information, multi-channel combined CS imaging can obtain better imaging quality than single-channel CS imaging, and it can also reflect the fully polarized scattering characteristics of the target comprehensively and accurately. The validity of the algorithm is verified by processing the electromagnetic simulation data of Backhoe excavator, and a fully polarized SAR hardware-in-the-loop simulation system is built in the microwave darkroom. The engineering feasibility of the method is further verified by the full polarization measured data.
【作者单位】：西北工业大学电子信息学院;西北工业大学无人机特种技术重点实验室;
【基金】：国家自然科学基金(61472324)项目资助
【分类号】：TN957.52

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