Refocusing and Motion Parameter Estimation for Ground Moving Targets Based on Improved Axis Rotation-Time Reversal Transform
Refocusing and Motion Parameter Estimation for Ground Moving Targets Based on Improved Axis Rotation-Time Reversal Transform
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DOI：
10.1109/tci.2018.2855436
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发表时间：
2018-07
影响因子：
5.4
通讯作者：
Penghui Huang;X. Xia;Xingzhao Liu;G. Liao
中科院分区：
文献类型：
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作者：
Penghui Huang;X. Xia;Xingzhao Liu;G. Liao
提出了一种基于改进的轴旋转-时间反转变换（IAR-TRT）的合成孔径雷达地面运动目标成像和运动参数估计新算法。该算法利用二阶Keystone变换对距离曲率进行校正，并考虑了快速运动目标引起的多普勒模糊。然后利用IAR-TRT消除残余的线性距离徙动和多普勒频率徙动，通过改进的轴旋转变换校正距离走动，实现基于时反变换的相干积累。最后，地面运动目标被很好地聚焦。此外，由于避免了对多普勒啁啾速率估计的穷举搜索，所提出的方法具有相对较低的计算复杂度。仿真和真实的数据验证了算法的有效性。
In this paper, a new algorithm is presented to image ground moving targets and estimate their motion parameters in a synthetic aperture radar system based on improved axis rotation-time reversal transform (IAR-TRT). In this algorithm, the second-order Keystone transform) is applied to correct the range curvature, where the Doppler ambiguity caused by a fast-moving target is considered. Then, residual linear range migration and Doppler frequency migration are eliminated by IAR-TRT, which performs an improved axis rotation transform to correct the range walk and subsequently realizes the coherent integration based on time reversal transform. Finally, a ground moving target is well focused. Additionally, the proposed method has a relatively low computational complexity since the exhaustive searching for Doppler chirp rate estimation is avoided. The effectiveness of the proposed algorithm is validated by both simulated and real data.