用慢时间域积分法实现雷达目标微多普勒信息的提取

罗迎; 池龙; 张群; 郭英

doi:10.3724/SP.J.1146.2007.00176

用慢时间域积分法实现雷达目标微多普勒信息的提取

doi: 10.3724/SP.J.1146.2007.00176

罗迎^① 池龙,,
池龙,
张群,
郭英

基金项目:

国家自然科学基金项目（60672032）和陕西省自然科学基础研究计划项目（2006F40, 2007F28）资助课题

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出版历程
- 收稿日期: 2007-01-29
- 修回日期: 2008-04-17
- 刊出日期: 2008-09-19

Extraction of Micro-Doppler Information Based on Slow-time Integration

Luo Ying^{① 池龙
,},
Chi Long,
Zhang Qun,
Guo Ying

摘要

摘要: 在ISAR成像中，某些雷达目标的部件存在旋转运动，会对回波信息引入微多普勒，从而导致成像质量下降，严重时甚至无法实现成像。本文提出一种基于对慢时间积分的简易方法，成功实现了微多普勒信息与目标主体信息的分离，获得了较为清晰的目标主体像；通过对微多普勒信息的分析，同时也能获得旋转部件的一些运动信息，如旋转半径、旋转频率等。文章最后的仿真结果证明了本文方法的有效性，并简单验证了不同信噪比条件下其微多普勒谱的提取性能。
- 微多普勒 /
- ISAR成像 /
- 旋转部件
Abstract: The micro-Doppler effect may be generated by additional frequency modulations on the returned radar signal, if the target contains rotating structures, such as a rotor on a helicopter. The body image will be contaminated duo to the existence of the micro-Doppler. In the paper, a simple method based on integral of slow-time is introduced, which has separated the signal from the body of target and that from the rotating parts successfully. It makes the ISAR image clearer, and also provides some information of the rotating parts, such as the radius and the rotation frequency. Finally, a computer simulation is given to prove the effectiveness of the method, and the performances of extraction of micro-Doppler spectrogram in the condition of different SNR are also discussed.
- M /
- i

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参考文献(1)

[1] 保铮, 邢孟道, 王彤. 雷达成像技术. 北京: 电子工业出版社,2006: 230-231. [2] Chen V C. Analysis of radar micro-Doppler signature withtime-frequency transform. Proc Statistical Signal and ArrayProcessing, Pocono Manor, PA, USA, Aug. 14-16, 2000: 463-466. [3] 庄钊文, 刘永祥, 黎湘. 目标微动特性研究进展. 电子学报,2007, 35(3): 520-525.Zhuang Zhao-wen, Liu Yong-xiang, and Li Xiang. Theachievements of target characteristic with micro-motion.Acta Electronica Sinica, 2007, 35(3): 520-525. [4] Chen V C and Li F. Analysis of micro-Doppler signatures[J].IEE Proc. Radar Sonar Navig.2003, 150(4):271-276 [5] Chen V C and Li F. Micro-Doppler effect in radar:phenomenon, model, and simulation study. IEEE Trans. onAES, 2006, 42(1): 2-21. [6] Thayaparan T, Abrol S, and Riseborough E. Micro-Dopplerradar signatures for intelligent target recognition. TechnicalMemorandum, DRDC Ottawa, TM 2004-170, September2004. [7] 陈行勇, 刘永祥, 黎湘, 等. 微多普勒分析和参数估计. 红外与毫米波学报, 2006, 25(5): 360-363.Chen Hang-yong, Liu Yong-xiang, Li Xiang, et al.. Analysis ofmicro-Doppler and parameters estimation. J. Infrared Millim.Waves, 2006, 25(5): 360-363. [8] Zhang Q, Yeo T S, and Tan H S, et al.. Imaging of a movingtarget with rotating parts based on the Hough transform[J].IEEE Trans. on Geoscience and Remote Sensing.2008, 46(1):291-299 [9] Li J and Ling H. Application of adaptive chirpletrepresentation for ISAR feature extraction from targets withrotating parts[J].IEE Proc. Radar Sonar Navig.2003, 150(4):284-291 [10] Setlur P, Amin M, and Thayaparan T. Micro-doppler signalestimation for vibrating and rotating targets. Proceedings ofthe Eighth International Symposium on Signal Processingand Its Applications, Sydney, Australia, 2005: 639-642. [11] Zhang Q and Yeo T S. Three-dimensional SAR imaging of aground moving target using the InISAR technique. IEEETrans. on GRS, 2004, 42(9): 1818-1828. [12] She Z H, Gray D A, and Bogner R E. Autofocus for inversesynthetic aperture radar (ISAR) imaging[J].Signal Processing.2001, 81(2):275-291

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