Imaging of Micromotion Targets With Rotating Parts Based on Empirical-Mode Decomposition
Imaging of Micromotion Targets With Rotating Parts Based on Empirical-Mode Decomposition
复制标题
基于经验模态分解的旋转部件微动目标成像
DOI：
10.1109/tgrs.2008.2002322
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发表时间：
2008-11-01
影响因子：
8.2
通讯作者：
Bao, Zheng
中科院分区：
文献类型：
--
作者：
Bai, Xueru;Xing, Mengdao;Bao, Zheng
对于具有旋转部件的微动目标，其主体的逆合成孔径雷达图像会受到微多普勒的影响。针对这一问题，本文提出了一种基于复值模式分解的成像算法。首先将雷达回波信号分解为一系列复值本征模函数。然后，从旋转部件和那些从主体的IMF分离根据他们的过零点的特性。最后，通过传统成像算法可以获得主体的良好聚焦成像和旋转部分的精确参数估计。给出了模拟数据和实测数据的成像结果，验证了所提出算法的有效性。
For micromotion targets with rotating parts, the inverse synthetic-aperture-radar image of the main body may be shadowed by the micro-Doppler. To solve this problem, this paper proposes an imaging algorithm based on the complex-valued empirical-mode decomposition. First, the radar echoes are decomposed into a series of complex-valued intrinsic-mode functions (IMFs). Then, the IMFs from the rotating parts and those from the main body are separated according to the characteristics of their zero-crossings. Finally, the well-focused imaging of the main body via traditional imaging algorithm and the accurate parameter estimation of the rotating part can be obtained. Both the imaging results for the simulated and measured data are given to verify the validity of the proposed algorithm.