基于时间反转和降阶Keystone的SAR-GMTI快速聚焦方法

doi:10.7527/S1000-6893.2018.21862

电子电气工程与控制

本期目录 | 过刊浏览 | 高级检索

前一篇 | 后一篇

基于时间反转和降阶Keystone的SAR-GMTI快速聚焦方法

万俊, 周宇, 张林让, 陈展野

西安电子科技大学雷达信号处理国家重点实验室, 西安 710071

收稿日期:2017-11-13 修回日期:2018-03-07 出版日期:2018-06-15 发布日期:2018-03-07
通讯作者: 周宇,E-mail:zhouyu@mail.xidian.edu.cn E-mail:zhouyu@mail.xidian.edu.cn
基金资助:
国家自然科学基金（61671361，61301285）

A fast SAR-GMTI focusing method based on time reversal and reduced-order Keystone

WAN Jun, ZHOU Yu, ZHANG Linrang, CHEN Zhanye

National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China

Received:2017-11-13 Revised:2018-03-07 Online:2018-06-15 Published:2018-03-07
Supported by:
National Natural Science Foundation of China (61671361, 61301285)

摘要/Abstract

摘要： 对合成孔径雷达（SAR）地面运动目标聚焦技术进行了研究。针对现有运动目标聚焦方法存在的问题，提出了一种基于时间反转和降阶Keystone的SAR地面运动目标检测（SAR-GMTI）快速聚焦方法。首先，根据目标的机动特性建立了3阶距离模型；其次，针对目标多普勒中心模糊引起的多普勒谱分裂现象，结合所提时间反转处理（TRP）和降阶Keystone变换处理估计出运动目标2阶参数。此后，构造2阶相位补偿函数补偿运动目标的2阶距离徙动和多普勒徙动，从而完成运动目标的聚焦。同时，所提方法没有任何参数搜索过程，降低了计算复杂度。最后，仿真实验验证了所提算法的正确性和有效性。

关键词: 合成孔径雷达, 地面运动目标聚焦, 时间反转处理, Keystone变换, 距离徙动, 多普勒徙动

Abstract: This paper describes the ground moving target focusing technique for the Synthetic Aperture Radar (SAR). For the problems existing in the present methods for ground moving target focusing, a fast SAR Ground Moving Target Indication (SAR-GMTI) focusing method based on time reversal and reduced-order Keystone processing is proposed. A three-order range model is established according to the characteristics of the maneuvering target. To eliminate the effects of Doppler spectrum split caused by doppler center blur, the proposed Time Reversal Processing (TRP) and reduced-order Keystone transform processing are combined to estimate the target second-order motion parameter. The second-order phase compensation function is constructed to compensate the second-order range migration and Doppler migration, and a focused result of a moving target is obtained. The proposed method has low computational complexity without any searching procedure. Simulations are provided to verify the validity of the proposed method.

Key words: synthetic aperture radar, ground moving target focusing, time reversal processing, Keystone transform, rang migration, Doppler migration

中图分类号:

V243.2
TN95

万俊, 周宇, 张林让, 陈展野. 基于时间反转和降阶Keystone的SAR-GMTI快速聚焦方法[J]. 航空学报, 2018, 39(6): 321862-321862.

WAN Jun, ZHOU Yu, ZHANG Linrang, CHEN Zhanye. A fast SAR-GMTI focusing method based on time reversal and reduced-order Keystone[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2018, 39(6): 321862-321862.

参考文献

[1] ZHANG X P, LIAO G S, ZHU S Q, et al. Geometry-information-aided efficient motion parameter estimation for moving-target imaging and location[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(1):155-159.
[2] ZHANG S X, XING M D, GUO R, et al. Interference suppression algorithm for SAR based on time-frequency transform[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(10):3765-3779.
[3] DENG B, QIN Y L, WANG H Q, et al. Angular extent effect of micromotion target in SAR image by polar format algorithm[J]. Journal of Systems Engineering and Electronics, 2014, 25(3):428-433.
[4] TANG S Y, ZHANG L R, GUO P, et al. Processing of monostatic SAR with general configurations[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(12):6529-6546.
[5] YANG J, ZHANG Y. An airborne SAR moving target imaging and motion parameters estimation algorithm with azimuth-dechirping and the second-order Keystone transform applied[J]. IEEE Journal of Selected Topics Applied Earth Observations and Remote Sensing, 2015, 8(8):3967-3976.
[6] PELICH R, LONGPE N, MERCIER G, et al. Vessel refocusing and velocity estimation on SAR imagery using the fractional Fourier transform[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(3):1670-1684.
[7] 梁颖, 张群, 武勇, 等. 一种FMCW SAR地面运动目标图谱域参数估计方法[J]. 航空学报, 2016, 37(5):1614-1621. LIANG Y, ZHAGN Q, WU Y, et al. A ground moving target parameter estimation method in spectrogram for FMCW SAR[J]. Acta Aeronautica et Astronautica Sinica, 2016, 37(5):1614-1621(in Chinese).
[8] 李刚, 许稼, 彭应宁, 等. 基于混合积累的SAR微弱运动目标检测[J]. 电子学报, 2007, 35(3):576-579. LI G, XU J, PENG Y N, et al. SAR weak moving target detection based on hybrid integration[J]. Acta Electronica Sinica, 2007, 35(3):576-579(in Chinese).
[9] 王肖洋, 高贵, 周石琳, 等. 一种基于双通道DPCA的SAR-GMTI杂波抑制方法[J]. 雷达学报, 2014, 3(2):241-248. WANG X Y, GAO G, ZHOU S L, et al. A clutter supression approach for SAR-GMTI based on dual-channel DPCA[J]. Journal of Radars, 2014, 3(2):241-248(in Chinese).
[10] NOVIELLO J C, FORNARO G, MARTORELLA M. Focused SAR image formation of moving targets based on doppler parameter estimation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(6):3460-3470.
[11] LI G, XIA X G, PENG Y N. A velocity estimation algorithm of moving targets using single antenna SAR[J]. IEEE Transactions on Aerospace and Electronic Systems, 2009, 45(3):1052-1062.
[12] XU J, XIA X G, PENG S B, et al. Radar maneuvering target motion estimation based on generalized Radon-Fourier transform[J]. IEEE Transactions on Signal Processing, 2012, 60(12):6190-6201.
[13] HUANG P H, LIAO G S, YANG Z W, et al. An approach for refocusing of ground moving target without target motion parameter estimation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(1):336-350.
[14] ZHOU F, WU R, XING M D, et al. Approach for single channel SAR ground moving target imaging and motion parameter estimation[J]. IET Radar Sonar Navigation, 2007, 1(1):59-66.
[15] PERRY R P, DIPIETRO R C, FANTE R. SAR imaging of moving targets[J]. IEEE Transactions on Aerospace and Electronic Systems, 1999, 35(1):188-200.
[16] XIN Z H, LIAO G S, YANG Z W, et al. A fast ground moving target focusing method based on first-order discrete polynomial-phase transform[J]. Digital Signal Processing, 2017, 60:287-295.
[17] HUANG P H, XIA X G, LIAO G S, et al. Ground moving target imaging based on keystone transform and coherently integrated CPF with a single-channel SAR[J]. IEEE Journal of Selected Topics Applied Earth Observations and Remote Sensing, 2017, 10(12):5686-5694.
[18] YANG J G, HUANG X T, JIN T, et al. New approach for SAR imaging of ground moving targets based on a Keystone transform[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(4):829-833.
[19] HUANG P H, LIAO G S, YANG Z W, et al. Ra long-time coherent integration for weak maneuvering target detection and high-order motion parameter estimation based on Keystone transform[J]. IEEE Transactions on Signal Processing, 2016, 64(15):4013-4026.
[20] HUANG P H, LIAO G S, YANG Z W, et al. Approach for space-based radar manoeuvring target detection and high-order motion parameter estimation[J]. IET Radar Sonar Navigation, 2015, 9(6):732-741.
[21] ZHU D, LI Y, ZHU Z. A Keystone transform without interpolation for SAR ground moving-target imaging[J] IEEE Geoscience and Remote Sensing Letters, 2007, 4(1):18-22.
[22] 陈展野, 周宇, 张林让, 等. 非均匀环境下利用单个数据集的STAP算法[J]. 航空学报, 2015, 36(12):3938-3946. CHEN Z Y, ZHOU Y, ZHANG L R, et al. Single data set-STAP algorithm in heterogeneous environment[J]. Acta Aeronautica et Astronautica Sinica, 2015, 36(12):3938-3946(in Chinese).
[23] PELEG S, BENJAMIN F. The discrete polynomial-phase transform[J]. IEEE Transactions on Signal Processing, 1995, 43(8):1901-1914.

E-mail：hkxb@buaa.edu.cn

关于我们

期刊社服务

专业学科

封面文章

友情链接

主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

基于时间反转和降阶Keystone的SAR-GMTI快速聚焦方法

A fast SAR-GMTI focusing method based on time reversal and reduced-order Keystone

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	叶铮, 朱岱寅, 吴迪. 一种基于重叠子孔径回波信息的SAR图像配准算法[J]. 航空学报, 2023, 44(8): 327254-327254.
[2]	纪朋徽, 邢世其, 代大海, 庞礴, 冯德军. SAR距离卷积方位乘积调制场景欺骗干扰方法[J]. 航空学报, 2023, 44(18): 328235-328235.
[3]	王莲子, 汪玲, 朱岱寅. 结合迁移学习基于全卷积神经网络的ISAR自聚焦算法[J]. 航空学报, 2023, 44(17): 328172-328172.
[4]	鲍悦, 陈俊宇, 施天玥, 毛新华. 基于先验误差模型的机载高分宽幅DBF-SAR自聚焦算法[J]. 航空学报, 2021, 42(6): 324502-324502.
[5]	孟亭亭, 谭鸽伟, 李梦慧, 杨晶晶, 李彪, 徐熙毅. 基于Chebyshev正交分解的曲线运动轨迹SAR的Chirp Scaling算法[J]. 航空学报, 2020, 41(7): 323741-323741.
[6]	卢景月, 张磊, 孟智超, 盛佳恋. 曲线轨迹下前视多通道SAR解模糊成像算法[J]. 航空学报, 2019, 40(7): 322745-322745.
[7]	史林, 韩宁, 宋祥君, 王立兵, 崔东辉. 基于虚拟慢时间的双基地ISAR成像算法[J]. 航空学报, 2019, 40(5): 322683-322683.
[8]	郭宝锋, 孙慧贤, 胡文华, 尹文龙, 陈关军. 双基地角时变下的ISAR等效旋转中心估计[J]. 航空学报, 2019, 40(3): 322432-322432.
[9]	韩宁, 李宝晨, 王立兵, 童俊, 郭宝锋. 基于稀疏分解的空间目标双基地ISAR自聚焦算法[J]. 航空学报, 2018, 39(8): 322037-322037.
[10]	朱晓秀, 胡文华, 马俊涛, 郭宝锋, 薛东方. 双基地角时变下的ISAR稀疏孔径自聚焦成像[J]. 航空学报, 2018, 39(8): 322059-322059.
[11]	唐峥钊, 董春曦, 畅鑫, 刘明明, 赵国庆. 基于拖曳式干扰机的ISAR微动散射波干扰方法[J]. 航空学报, 2018, 39(7): 322007-322007.
[12]	杨鸣冬, 俞翔, 朱岱寅. 基于距离子带的机载SAR高精度多级空变运动补偿[J]. 航空学报, 2018, 39(2): 321557-321557.
[13]	周龙健, 罗景青, 俞志富, 吴世龙. 一种运动双站多脉冲无源定位算法[J]. 航空学报, 2017, 38(2): 320251-320260.
[14]	范怀涛, 张志敏, 李宁, 魏云龙. 基于IMU的机载TOPSAR目标定位方法[J]. 航空学报, 2016, 37(5): 1587-1594.
[15]	梁颖, 张群, 武勇, 顾福飞, 杨秋. 一种FMCW SAR地面运动目标谱图域参数估计方法[J]. 航空学报, 2016, 37(5): 1614-1621.