基于复杂高分辨距离像的雷达目标识别新方法

Lei Chen, Rushan Chen
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引用次数: 6

摘要

雷达高分辨距离像(HRRP)在雷达目标识别中起着重要作用。利用HRRP进行雷达目标识别的方法有很多,但大多数都是利用幅度信息进行雷达目标识别,而忽略了相位信息。事实上,在识别处理过程中,相位信息对识别有很大的优势。本文提出了一种基于相对相位信息的新方法。利用数据挖掘技术从目标回波中提取相对相位。在识别实验中,利用旋转模型的仿真数据验证了该方法的可行性。最后,我们得出结论,该方法可以消除目标平移较小时的初始相位灵敏度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new radar target recognition method based on complex high resolution range profiles
Radar high resolution range profile (HRRP) plays an important role in radar target recognition. There are lots of recognized methods using HRRP, most of them use the amplitude information for radar target recognition, while the phase information is ignored. In fact, during the recognized processing, the phase information has great advantages to recognition. This paper gives a new method based on the relative phase information. The relative phase is extracted from the target echo by data mining technique. In the recognition experiment, the simulated data of rotation model is used to confirm the feasibility of this new method. At the end, we conclude that this method can eliminate the initial phase sensitivity when the target has little translation.
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