一种基于动目标聚焦的SAR-GMTI方法

韦北余; 朱岱寅; 吴迪

doi:10.11999/JEIT151036

一种基于动目标聚焦的SAR-GMTI方法

doi: 10.11999/JEIT151036

基金项目:

国家自然科学基金(61301212)，国防基础科研计划(B2520110008)，航空科学基金(20132052030)，中国博士后科学基金(2012M511750)，南京航空航天大学基本科研业务费(NS2013023), 江苏高校优势学科建设工程

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出版历程
- 收稿日期: 2015-09-14
- 修回日期: 2016-02-19
- 刊出日期: 2016-07-19

A SAR-GMTI Approach Based on Moving Target Focusing

Funds:

The National Natural Science Foundation of China (61301212), Defense Industrial Technology Development Program (B2520110008), Aeronautical Science Foundation of China (20132052030), China Postdoctoral Science Foundation (2012M511750), NUAA Fundamental Research Funds (NS2013023), Priority Academic Program Development of Jiangsu Higher Education Institutions

摘要

摘要: 由于输入信杂噪比(Signal to Clutter Noise Ratio, SCNR)较低，杂波抑制后超高频(Ultra-High Frequency, UHF)波段合成孔径雷达(Synthetic Aperture Radar, SAR)图像中剩余静止目标杂波导致系统虚警概率较高。该文提出一种动目标筛选方法，能够判断恒虚警概率(Constant False Alarm Rate, CFAR)检测器检测到的目标是否为动目标。提出一种动目原始数据恢复方法，能够从整幅SAR图像中恢复任意孤立点的多普勒相位历史。采用距离多普勒处理对恢复的数据成像，然后采用方位自聚焦处理对所成子图像进行重新聚焦。如果子图像中目标为静止目标，则聚焦前后子图像不变，否则图像被重新聚集。通过检测图像的变化可以排除虚假动目标。仿真及实测数据处理结果说明了该方法的有效性。
- 合成孔径雷达 /
- -K算法 /
- 地面动目标指示 /
- 超高频波段雷达
Abstract: Due to the low Signal to Clutter Noise Ratio (SCNR), the residual stationary targets in a clutter suppressed multichannel Ultra-High Frequency (UHF) band Synthetic Aperture Radar (SAR) image may lead to an unacceptable false alarm rate. A method of moving target screening is presented in this paper, which can determine whether the target detected by the Constant False Alarm Rate (CFAR) detector is a real moving one. A moving target data recovery method is described, which can recover the Doppler phase history of any isolated target within a full-K SAR image. The recovered data is processed again into a sub-image by range Doppler processing, and the sub-image is refocused with azimuth autofocus processing. The sub-image will not change after refocusing if the target in it is a stationary one, and it will be refocused if the target is a moving one. The false moving target can be eliminated by detecting this change. The proposed method is demonstrated on simulated and real SAR Ground Moving Target Indication (GMTI) data.
- Synthetic Aperture Radar (SAR) /
- -K algorithm /
- Ground Moving Target Indication (GMTI) /
- Ultra- High Frequency (UHF) band radar

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参考文献(20)

ENTZMINGER JR J N, FOWLER C A, and KENNEALLY W J. JointSTARS and GMTI: Past, present and future[J]. IEEE Transactions on Aerospace and Electronic Systems, 1999, 35(2): 748-761.

黄大荣, 孙光才, 吴玉峰, 等. 三通道TOPSAR-GMTI技术研究[J]. 电子与信息学报, 2013, 35(1): 41-48. doi: 10.3724/sp.j.1146.2012.00764.

HUANG D R, SUN G C, WU Y F, et al. Research on three-channel TOPSAR-GMTI technology[J]. Journal of Electronics Information Technology, 2013, 35(1): 41-48. doi: 10.3724/sp.j.1146.2012.00764.

MAKHOUL E, BROQUETAS A, RUIZ Rodon J, et al. A performance evaluation of SAR-GMTI missions for maritime applications[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(5): 2496-2509.

张佳佳, 周芳, 孙光才, 等. 基于前向阵雷达的三通道地面快速动目标检测与成像方法[J]. 电子与信息学报, 2013, 35(1): 8-14. doi: 10.3724/sp.j.1146.2012.00749.

ZHANG J J, ZHOU F, SUN G C, et al. Approach for ground fast-moving target detection and imaging based on the three-channel forward-looking radar[J]. Journal of Electronics Information Technology, 2013, 35(1): 8-14. doi: 10.3724/sp.j.1146.2012.00749.

田斌, 朱岱寅, 吴迪, 等. 稳健的多通道SAR/GMTI通道盲均衡算法[J]. 电子学报, 2014, 42(3): 424-431. doi: 10.3969/j.issn.0372-2112.2014.03.002.

TIAN B, ZHU D Y, WU D, et al. Robust channel blind equalization algorithm for multi-channel SAR/GMTI system[J]. Acta Electronica Sinica, 2014, 42(3): 424-431. doi: 10.3969/j.issn.0372-2112.2014.03.002.

MERTENS M, KOCH W, and KIRUBARAJAN T. Exploiting Doppler blind zone information for ground moving target tracking with bistatic airborne radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(1): 130-148.

刘安娜, 陈力, 赵斐, 等. 基于DPCA-FrFT的三通道SAR-GMTI方法[J]. 电子学报, 2011, 39(9): 2091-2097. doi: 10.3969/j.issn.0372-2112.2011.09.2091.07.

LIU A N, CHEN L, ZHAO F, et al. Study on DPCA-FrFT based multi-channel SAR-GMTI [J]. Acta Electronica Sinica, 2011, 39(9): 2091-2097. doi: 10.3969/j.issn.0372-2112. 2011.09.2091.07.

SJOGREN T K, VIET Thuy V, PETTERSSON M I, et al. Suppression of clutter in multichannel SAR GMTI[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(7): 4005-4013.

FIENUP J R. Detecting moving targets in SAR imagery by focusing[J]. IEEE Transactions on Aerospace and Electronic Systems, 2001, 37(3): 794-809.

RANEY R K. Synthetic aperture imaging radar and moving targets[J]. IEEE Transactions on Aerospace and Electronic Systems, 1971, (3): 499-505.

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.

CUMMING I G and WONG F H. Digital Processing of Synthetic Aperture Radar Data Algorithms and Implementation[M]. Boston London: Artech House, 2005: 324-390.

PERRY R P, DIPIETRO R C, and FANTE R L. SAR imaging of moving targets[J]. IEEE Transactions on Aerospace and Electronic Systems, 1999, 35(1): 188-200.

ENDER J H G. The airborne experimental multi-channel

SAR-system AER-II[C]. EUSAR, Konigswinter, Germany, 1996: 49-52.

ZHU S, LIAO G, ZHOU Z, et al. Robust moving targets detection and velocity estimation using multi-channel and multi-look SAR images[J]. Signal Processing, 2010, 90(6): 2009-2019.

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