An ISAR imaging method for multiple moving targets based on fractional Fourier transformation

Ya-Nan Li, Yaowen Fu, Xiang Li, Lewei Li
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引用次数: 16

Abstract

When multiple radar targets are close to each other, the returned signals from these targets are overlapped in time. The translational motion can be viewed as a uniformly accelerated motion, therefore, the Doppler variation of echoes in the cross-range direction can be approximated by the first-order polynomial which is called linear frequency modulation signal. For different targets, the chirp rates are different from each other. In this paper, a new algorithm based on fractional Fourier technique is proposed to separate the signals from different targets in each cross-range cell. By the CLEAN technique, the number of targets need not be specified. We derive original algorithms to compensate the motion of each target signal, so the image of each target can be obtained. The simulation results are given to demonstrate the efficiency of the proposed algorithm for multiple moving targets imaging.
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基于分数阶傅里叶变换的多运动目标ISAR成像方法
当多个雷达目标相互靠近时,这些目标返回的信号在时间上是重叠的。平移运动可以看作是均匀加速运动,因此,回波在跨距离方向上的多普勒变化可以用一阶多项式来近似,称为线性调频信号。对于不同的目标,啁啾率是不同的。本文提出了一种基于分数傅里叶技术的交叉距离单元信号分离算法。使用CLEAN技术,不需要指定目标的数量。我们推导了原始算法来补偿每个目标信号的运动,从而得到每个目标的图像。仿真结果验证了该算法对多运动目标成像的有效性。
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