含旋转部件的动态目标ISAR成像及微多普勒特征提取

含旋转部件的动态目标ISAR成像中,受旋转部件微多普勒调制影响,导致目标成像质量下降,给目标识别带来巨大困难.抑制或消除旋转部件回波是处理带有旋转部件目标ISAR成像的重要内容.现有的算法在处理旋转部件时采用了单个旋转点的假设,虽然取得了较好的效果,但是对实测数据分离效果不明显.为此,本文基于含旋转部件目标主体和旋转部...

ISAR Imaging of Dynamic Targets with Rotating Parts and Micro-Doppler Feature Extraction

In the inverse synthetic aperture radar (ISAR) imaging for dynamic target with rotating parts, the image quality of the target is reduced due to the micro-Doppler effects from the rotating parts, which brings difficulties to the target recognition. Therefore, it is important to suppress or eliminate the influences of rotating parts in ISAR imaging. The existing algorithms for processing rotating parts have adopt a signal rotation hypothesis with which good effect has obtained, however, the separation effect is not obvious for the measured data. Thus, this article presents an echo separation algorithm for rotating parts based on time-frequency analysis for the measured data, which enables better separation of the main body echo from the rotating parts echoes. By analyzing the echoes of the rotating parts separately, the characteristic parameters of the micro-motion of the rotating parts can be better obtained. The results from the simulated and measured data verify the validity of the proposed algorithm.