Maneuvering SAR Imaging Algorithms Based on the Separation of Azimuthal Motion Information
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摘要:
针对机动SAR成像，该文提出一种基于方位向运动信息分离的成像算法。在完成距离压缩后，通过方位向运动信息分离，去除非方位向运动造成的距离走动和空变性影响，然后利用方位向速度等效变换实现距离弯曲校正，最后通过非均匀傅里叶变换实现方位向的压缩。该算法利用3维坐标在斜距方程中性质相同的原理，经过非方位向运动信息的校正，将3维空间运动等效成方位向直线非匀速运动模型，实现了机动SAR成像。通过仿真验证了算法在不同运动状态下的适用性。算法简单稳定、适用性强。
Abstract:A maneuvering SAR imaging algorithm is proposed based on the separation of azimuthal motion information. After range compression, the influence of non-azimuthal motion on range walk and spatiality is removed by separating azimuthal motion information. Then, the azimuth velocity equivalent transformation is used to realize range bending correction. Finally, the azimuth compression is realized by non-uniform Fourier transform. Using this principle, the parameters of three directions in the oblique distance equation have the same properties in the three-dimensional coordinate system. The algorithm transforms the three-dimensional spatial motion into the azimuthal non-uniform motion model. Through simulation, the applicability of the algorithm to different models and other motion states is verified. The algorithm is simple, stable and applicable.
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Key words:
- SAR imaging /
- Frequency domain /
- Maneuvering
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