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中文摘要：
雷达目标部件的旋转运动引起的微多普勒效应为目标精确识别提供了新的技术途径，近年来获得了广泛研究。该文以含旋转部件目标为例，提出了一种利用Duffing振子在低信噪比条件下提取雷达目标微动特征的方法。由于经参考信号共轭相乘后的旋转散射点回波信号是由多个正弦分量组成的，因此采用Duffing振子系统对回波信号中的正弦分量进行检测，并对该正弦分量频率所对应的距离单元在距离-慢时间平面上进行能量增强，最后结合Hough变换完成对雷达目标微动特征的提取。仿真实验验证了该方法的有效性。
英文摘要：
The micro-Doppler effect induced by the rotating parts of the target, which provides a new approach for accurate auto radar target recognition, attracts great research attention in recent years. In this paper, taking target with rotating parts for an example, a method for the application of Duffing oscillators to micro-motion feature extraction of radar target under low Signal-to-Noise Ratio （SNR） is proposed. The echo of the rotating parts after multiplying with the conjugate of the reference signal is constructed by several sinusoidal components. Therefore, the Duffing oscillators are used to detect the sinusoidal components of the echo signal. Then, the power of the range cells on the range-slow time plane corresponding to the frequencies of the detected sinusoidal components are enhanced. Finally, the micro-motion feature of the radar target is obtained by the Hough transform. A computer simulation is given to verify the effectiveness of the proposed method.
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An Adaptive ISAR-Imaging-Considered Task Scheduling Algorithm for Multi-Function Phased Array Radars
Micro-Doppler features analysis and extraction of vibrating target in FMCW SAR based on slow time en
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