Radar Micro-Doppler Signature Extraction and Detection via Short-time Sparse Time-frequency Distribution

被引：12
|
作者：
Chen X. [1 ]
Guan J. [1 ]
Yu X. [1 ]
He Y. [2 ]
机构：
[1] Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Yantai
[2] Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai
来源：
Chen, Xiaolong (cxlcxl1209@163.com) | 2017年 / Science Press卷 / 39期
基金：
中国国家自然科学基金;
关键词：
Marine target; Micro-Doppler; Moving target detection; Sparse representation; Time-Frequency Distribution (TFD);
D O I：
10.11999/JEIT161040
中图分类号：
学科分类号：
摘要：
In order to effectively improve radar detection ability of moving target under the conditions of strong clutter and complex motion characteristics, the principle framework of Short-Time sparse Time-Frequency Distribution (ST-TFD) is established combing the advantages of TFD-based moving target detection and sparse representation. Then, Short-Time Sparse Fourier Transform (ST-SFT) and Short-Time Sparse FRactional Fourier transform (ST-SFRFT)-based radar moving target detection methods are proposed and applied to micro-Doppler signature extraction and detection of marine target. It is verified by real radar data that the proposed methods can achieve high-resolution and low complexity TFD of time-varying signal in time-sparse domain, and has the advantages of high efficiency, good time-frequency resolution, anti-clutter, and so on. It can be expected that the proposed methods can provide a novel solution for radar clutter suppression and moving target detection. © 2017, Science Press. All right reserved.
引用
收藏
页码：1017 / 1023
页数：6
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