基于ISAL的含旋转部件目标成像及微动特征提取

Imaging and Motion Feature Extraction for the Targets with Rotating Parts in ISAL

逆合成孔径激光雷达能实现对目标的高分辨2维成像,但如果目标中包含旋转部件,旋转部件回波带来的微多普勒效应会对目标的成像造成干扰。该文提出一种含旋转部件目标微多普勒特征提取及成像方法,首先利用匹配参考信号的方法对回波信号进行一定程度的非线性补偿,然后通过二值数学形态学方法提取频率-慢时间谱图中微多普勒特征曲线的信息,并利用微多普勒特征曲线的周期性进行曲线分离,实现对目标旋转部件微动参数的快速提取。在此基础上,对主体回波信号和旋转部件回波信号进行分离,完成对目标主体的2维成像。仿真实验验证了该文算法不仅能有效剔除目标旋转部件对逆合成孔径激光雷达成像的干扰,还能通过微多普勒特征的提取为目标识别提供新的途径。

Inverse Synthetic Aperture LADAR（ISAL） can realize high resolution imaging for targets.However,if there are rotating parts in the targets,the echo from rotating parts would influence the imaging for targets.A micro-Doppler feature extraction and imaging method for the targets with rotating parts in ISAL is proposed.The echo is compensated by matched reference signal method firstly.Then,the micro-Doppler curves are separated from frequency-slow time spectrogram.The parameters of micro-Doppler curves are extracted fast based on the periodicity of the curves.Finally,the echo of rotating parts is separate from the echo of target body,and the 2-D imaging for target is realized.Simulation shows that the proposed method can not only filter out the pollution caused by rotating parts in ISAL imaging,but also provide new information for the target identification.