合成孔径雷达运动目标检测的研究进展

doi:10.16183/j.cnki.jsjtu.2018.10.016

摘要/Abstract

摘要： 由于在军事侦察和民事搜索中的巨大潜力，合成孔径雷达的运动目标检测技术一直备受关注.从单通道合成孔径雷达的运动目标检测、多通道合成孔径雷达的运动目标检测以及合成孔径雷达的运动目标速度估计三个方面出发，系统回顾了该领域中现有的思想和方法，并简单介绍了本课题组近期在该领域所取得的重要进展.

关键词: 合成孔径雷达, 地面运动目标显示, 视间差异, 顺轨干涉, 偏置相位中心天线, 空时自适应处理

Abstract: Due to its great potential in military reconnaissance and civil search, much attention is paid to moving-target detection in synthetic aperture radar (SAR) imaging. This paper reviews the methods in this field from three aspects: moving-target detection based on single-channel SAR, moving-target detection based on multiple-channel SAR, and velocity estimation of moving targets based on SAR, and introduces the significant progress made by our team in this filed recently.

Key words: synthetic aperture radar (SAR), ground-moving-target indication (GMTI), difference between looks, along-track interferometry (ATI), displaced-phase-centroid antenna (DPCA), space-time adaptive processing (STAP)

中图分类号:

TN 957

王军锋，刘兴钊. 合成孔径雷达运动目标检测的研究进展[J]. 上海交通大学学报, 2018, 52(10): 1273-1279.

WANG Junfeng,LIU Xingzhao. Development in SAR Moving-Target Detection[J]. Journal of Shanghai Jiao Tong University, 2018, 52(10): 1273-1279.

参考文献

［1］RANEY R K. Synthetic aperture imaging radar and moving targets ［J］. IEEE Transactions on Aerospace and Electronic Systems, 1971, 7(3): 499-505. ［2］CURLANDER J C, MCDONOUGH R N. Synthetic aperture radar: Systems and signal processing ［M］. New York, NY: John Wiley & Sons, 1991. ［3］BAMLER R. Doppler frequency estimation and the Cramer-Rao bound ［J］. IEEE Transactions on Geoscience and Remote Sensing, 1991, 29(3): 385-390. ［4］CUMMING I G, WONG F H. Digital processing of synthetic aperture radar data: Algorithms and implementation ［M］. Norwood, MA: Artech House, 2005. ［5］HERLAND E A. Some SAR processing results using autofocusing ［C］//Seasat-SAR Workshop. Frascati, Italy: ［s. n.］, 1980: 19-22. ［6］WANG J, LIU X. SAR minimum-entropy autofocus using an adaptive-order polynomial model ［J］. IEEE Geoscience and Remote Sensing Letters, 2006, 3(4): 512-516. ［7］FIENUP J R. Phase error correction by shear averaging ［C］//Signal Recovery and Synthesis III Topical Meeting. Falmouth, MA, USA: OSA, 1989: 134-137. ［8］FIENUP J R. Detecting moving targets in SAR imagery by focusing ［J］. IEEE Transactions on Aerospace and Electronic Systems, 2001, 37(3): 794-809. ［9］BARBAROSSA S, FARINA A. A novel procedure for detecting and focusing moving objects with SAR based on the Wigner-Ville distribution ［C］//IEEE International Conference on Radar. Arlington, VA, USA: IEEE, 1990: 44-50. ［10］EICHEL P H, GHIGLIA D C, JAKOWATZ C V. Speckle processing method for synthetic aperture radar phase correction ［J］. Optics Letters, 1989, 14(1): 1-3. ［11］WAHL D E, EICHEL P H, GHIGLIA D C, et al. Phase gradient autofocus—A robust tool for high re-solution SAR phase correction ［J］. IEEE Transactions on Aerospace and Electronic Systems, 1994, 30(3): 827-835. ［12］LV G, WANG J, LIU X. Ground moving target indication in SAR images by symmetric defocusing ［J］. IEEE Geoscience and Remote Sensing Letters, 2013, 10(2): 241-245. ［13］DIAS J M B, MARQUES P A C. Multiple moving target detection and trajectory estimation using a single SAR sensor ［J］. IEEE Transactions on Aerospace and Electronic Systems, 2003, 39(2): 604-624. ［14］KIRSCHT M. Detection and velocity estimation of moving objects in a sequence of single-look SAR images ［C］//International Geoscience and Remote Sensing Symposium. Lincoln, NE, USA: IEEE, 1996: 333-335. ［15］KIRSCHT M. Detection and imaging of arbitrarily moving targets with single-channel SAR ［J］. IEE Proceedings-Radar, Sonar, and Navigation, 2003, 150(1): 7-11. ［16］唐肖剑, 张春荣, 郝小宁, 等. 基于对比度滤波的SAR动目标检测方法［C］//中国合成孔径雷达会议. 南京: 电子工业出版社, 2005: 223-226. TANG Xiaojian, ZHANG Chunrong, HAO Xiao-ning, et al. SAR moving target detection method based on contrast filtering［C］//China SAR Conference. Nanjing, China: Publishing House of Electronics Industry, 2005: 223-226. ［17］ZHAN T, WANG J, LIU X, et al. Ground moving target indication in SAR images based on local 2-look similarity ［C］//IEEE International Geoscience and Remote Sensing Symposium. Melbourne, Australia: IEEE, 2013: 1344-1347. ［18］WANG J. SAR moving-target detection using difference between two looks ［C］//IEEE International Conference on Signal Processing, Communications and Computing. Ningbo, China: IEEE, 2015: 1-5. ［19］GOLDSTEIN R M, ZEBKER H A. Interferometric radar measurement of ocean surface currents ［J］. Nature, 1987, 328: 707-709. ［20］MEYER F, HINZ S, LAIKA A, et al. Performance analysis of the TerraSAR-X traffic monitoring concept ［J］. ISPRS Journal of Photogrammetry and Remote Sensing, 2006, 61(3/4): 225-242. ［21］SUCHANDT S, RUNGE H, BREIT H, et al. Automatic extraction of traffic flows using TerraSAR-X along-track interferometry ［J］. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(2): 807-819. ［22］BUDILLON A, SCHIRINZI G. Performance evaluation of a GLRT moving target detector for TerraSAR-X along-track interferometric data ［J］. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(6): 3350-3360. ［23］ZHENG H, WANG J, LIU X. Synthetic aperture radar ground moving target indication via exploiting interferogram’s magnitude and phase ［J］. Journal of Applied Remote Sensing, 2016, 10(3): 035012. ［24］FRIEDLANDER B, PORAT B. VSAR: A high resolution radar system for detection of moving targets ［J］. IEE Proceedings—Radar, Sonar and Navigation, 1997, 144(4): 205-218. ［25］ZHENG H, WANG J, LIU X. Ground moving target indication of multichannel synthetic aperture radar based on statistics of the dominant-velocity image ［J］. Journal of Applied Remote Sensing, 2016, 10(3): 036010. ［26］ZHENG H, WANG J, LIU X. Ground moving target indication for multichannel synthetic aperture radar systems using asymmetry of spatial spectrum ［J］. Journal of Applied Remote Sensing, 2018, 12(1): 015011. ［27］ENDER J H G. Space-time processing for multichannel synthetic aperture radar ［J］. Electronics & Communication Engineering Journal, 1999, 11(1): 29-38. ［28］CUMMING I G, KAVANAGH P F, ITO M R. Resolving the Doppler ambiguity for spaceborne synthetic aperture radar ［C］//International Geoscience and Remote Sensing Symposium. Zurich, Switzerland: IEEE, 1986: 1639-1643. ［29］BAMLER R, RUNGE H. PRF-ambiguity resolving by wavelength diversity ［J］. IEEE Transactions on Geoscience and Remote Sensing, 1991, 29(6): 997-1003. ［30］MARQUES P A C, DIAS J M B. Velocity estimation of fast moving targets using a single SAR sensor ［J］. IEEE Transactions on Aerospace and Electronic Systems, 2005, 41(1): 75-89. ［31］LI G, XIA X, XU J, et al. A velocity estimation algorithm of moving targets using single antenna SAR ［J］. IEEE Transactions on Aerospace and Electronic Systems, 2009, 45(3): 1052-1062. ［32］WANG J, LIU X. Velocity estimation of moving targets in SAR imaging ［J］. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(2): 1543-1549.

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