胡健^{1, 2,,},
罗迎^{1, 3, 4},
张群^{1, 3, 4},
康乐^{1, 3},
何其芳^{1, 5}
1.空军工程大学信息与导航学院 ??西安 ??710077
2.95633部队 ??邛崃 ??611531
3.信息感知技术协同创新中心 ??西安 ??710077
4.复旦大学电磁波信息科学教育部重点实验室 ??上海 ??200433
5.93534部队 ??天津 ??301700
基金项目:国家自然科学基金项目(61571457, 61471386)，陕西省青年科技新星计划项目(2016KJXX-49)

详细信息

作者简介:胡健：男，1986年生，博士生，研究方向为雷达成像与雷达目标微多普勒效应
罗迎：男，1984年生，副教授，博士生导师，研究方向为雷达成像与目标识别、雷达目标微多普勒效应、认知雷达
张群：男，1964年生，教授，博士生导师，研究方向为雷达成像、目标识别与电子对抗
康乐：男，1993年生，博士生，研究方向为雷达成像与目标识别
何其芳：女，1993年生，助理工程师，研究方向为雷达信号处理与目标识别

通讯作者:胡健　hujianinstar@163.com

中图分类号:TN957.52

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被引次数:0

出版历程

收稿日期:2018-04-23
修回日期:2018-11-01
网络出版日期:2018-11-12
刊出日期:2019-02-01

Three-dimensional Interferometric Imaging and Micro-motion Feature Extraction of Rotating Space Targets Based on Narrowband Radar

Jian HU^{1, 2,,},
Ying LUO^{1, 3, 4},
Qun ZHANG^{1, 3, 4},
Le KANG^{1, 3},
Qifang He^{1, 5}
1. Institute of Information and Navigation, Air Force Engineering University, Xi’an 710077, China
2. 95633 PLA Troop, Qionglai 611531, China
3. Collaborative Innovation Center of Information Sensing and Understanding, Xi’an 710077, China
4. Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), Fudan University, Shanghai 200433, China
5. 93534 PLA Troop, Tianjin 301700, China
Funds:The National Natural Science Foundation of China (61571457, 61471386), The Youth Science and Technology Nova Program of Shaanxi Province (2016KJXX-49)


摘要
摘要:该文根据干涉式逆合成孔径雷达(InISAR)中多天线干涉处理的思想，提出一种基于L型3天线模型的空间旋转目标3维成像与3维微动特征提取方法。将微多普勒效应理论与多天线干涉处理技术相结合，在时频面上通过Viterbi算法分离散射点并进行干涉处理获取目标在各时刻沿基线方向的2维投影坐标；根据目标微动特性，采用非迭代椭圆拟合方法重构出散射点的高度维信息，实现目标的真实3维成像，并在成像过程中提取目标的3维微动特征参数。仿真实验验证了所提方法的有效性与鲁棒性。
关键词:窄带雷达/
干涉式3维成像/
空间目标/
微动特征提取
Abstract:Inspired by the idea of multi-antenna interferometric processing in Interferometric Inverse Synthetic Aperture Radar (InISAR), by utilizing an L-shaped three-antenna imaging model, a Three-Dimensional (3-D) interferometric imaging and micro-motion feature extraction method for rotating space targets is proposed. Based on the integration of micro-Doppler (m-D) effect theory and multi-antenna interferometry processing technology, the m-D curves corresponding to different scatterers are obtained on the time-frequency plane and separated via Viterbi algorithm effectively, and then the projected coordinates of scatterers along the direction of baselines are reconstructed by interferometric processing. The height information of scatterers is solved by ellipse fitting, and 3-D imaging for the rotating space target is realized. Meanwhile, some 3-D micro-motion features are exactly extracted during imaging. Simulation results validate the effectiveness and the robustness of the method.
Key words:Narrowband radar/
3-D interferometric imaging/
Space target/
Micro-motion feature extraction



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