利用压缩感知的短孔径高分辨ISAR成像方法

压缩感知理论揭示：对于稀疏信号可以利用非常有限的观测数据对信号本身进行精确恢复．基于此思路提出了一种利用短孔径有限数据实现高分辨逆合成孔径雷达成像的新方法，将逆合成孔径雷达成像转换为利用正交基重构稀疏信号的问题，然后利用压缩感知对目标像高分辨优化重建．同时，根据压缩感知理论对新成像方法的分辨率理论上界进行了推导．对舰船和机动飞机的实测数据的处理结果验证了新方法的有效性和稳健性．

Method for achieving high resolution ISAR imaging with short aperture data via compressed sensing

Compressed sensing suggests that exact recovery of a sparse signal is possible from very limited measurements. Based on this idea, a new method for high-resolution inversed synthetic aperture radar (ISAR) imaging with short aperture data is presented. This approach converts ISAR imaging into the problem of reconstructing the sparse signal with an orthogonal basis, then compressed sensing is applied to reconstruct the high resolution image optimally. And a conceptive upper bound of resolution is derived in detail. Experiments using real ISAR data of ship and plane are performed, whose results confirm the validity of the proposal in high resolution ISAR imaging with limited data.