基于非理想运动误差补偿的SAR地面运动目标成像(英文)

周辉; 赵凤军; 禹卫东; 杨健

doi:10.12000/JR15024

SAR Imaging of Ground Moving Targets with Non-ideal Motion Error Compensation

DOI: 10.12000/JR15024 cstr: 32380.14.JR15024

1.
(Space Microwave Remote Sensing System Department, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)
2.
(University of Chinese Academy of Sciences, Beijing 100049, China)
3.
(China Academy of Launch Vehicle Technology, Beijing 100076, China)

Funds:

Supported by the National Ministries Foundation.

摘要

Abstract:
Conventional ground moving target imaging algorithms mainly focus on the range cell migration correction and the motion parameter estimation of the moving target. However, in real Synthetic Aperture Radar (SAR) data processing, non-ideal motion error compensation is also a critical process, which focuses and has serious impacts on the imaging quality of moving targets. Non-ideal motion error can not be compensated by either the stationary SAR motion error compensation algorithms or the autofocus techniques. In this paper, two sorts of non-ideal motion errors that affect the Doppler centroid of the moving target is analyzed, and a novel non-ideal motion error compensation algorithm is proposed based on the Inertial Navigation System (INS) data and the range walk trajectory. Simulated and real data processing results are provided to demonstrate the effectiveness of the proposed algorithm.
- Synthetic Aperture Radar (SAR) /
- Ground Moving Target Imaging (GMTIm) /
- Non-ideal motion error compensation /
- Doppler centroid
摘要:
传统的SAR地面运动目标成像算法主要集中在距离徙动校正和目标的运动参数估计上.但在SAR实测数据处理中,非理想运动误差补偿对动目标聚焦成像质量至关重要,而且该误差既不能通过固定的SAR运动误差补偿算法来补偿,也无法通过采用自聚焦技术解决.该文根据含有非理想运动误差的SAR运动目标回波信号模型,对影响动目标多普勒中心的两类非理想运动误差进行深入分析,提出一种将INS惯导数据与距离走动轨迹相结合的非理想运动误差补偿算法,并通过实际数据和计算机仿真数据验证了该算法的有效性.
- 合成孔径雷达(SAR) /
- 地面运动目标成像(GMTIm) /
- 非理想运动误差补偿 /
- 多普勒中心

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参考文献(23)

[1]	Barbarossa S. Detection and imaging of moving objects with synthetic aperture radar Part 1: Optimal detection and parameter estimation theory[J]. IEEE Proceedings-F Radar and Signal Processing, 1992, 139(1): 79-88.
[2]	Jao J K. Theory of synthetic aperture radar imaging of a moving target[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(9): 1984-1992.
[3]	Tang L, Li D, Wu Y, et al.. Imaging of ground moving targets based on airborne SAR[J]. Journal of Systems Engineering and Electronics, 2005, 27(1): 1681-1684.
[4]	Zhu S, Liao G, Qu Y, et al.. Ground moving targets imaging algorithm for synthetic aperture radar[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(1): 462-477.
[5]	Li Y, Wang Y, and Liu C. Detect and autofocus the moving target by its range walk in time domain[C]. 2011 International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, China, 2011: 1-5.
[6]	Xing M, Jiang X, Wu R, et al..
[7]	Motion compensation for UAV SAR based on raw radar data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(8): 2870-2883.
[8]	Wang R, Luo Yun-hua, Deng Yun-kai, et al.. Motion compensation for high resolution automobile FMCW SAR[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(5): 1157-1161.
[9]	Sun G C, Xing M D, Xia X G, et al.. Robust ground moving target imaging using Deramp-keystone processing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(2): 966-982.
[10]	Zhang S X, Xing M D, Xia X G, et al.. A novel moving target imaging algorithm for HRWS SAR based on local maximum- likelihood minimum entropy[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(9): 5333-5348.
[11]	Soumekh M. Synthetic Aperture Radar Signal Processing with MATLAB Algorithms[M]. New York, USA: Wiley- Hall, Inc., 1999: 186-230.
[12]	Li Y, Liu C, Wang Y, et al.. A robust motion error estimation method based on raw SAR data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(7): 2780-2790.
[13]	Zhang Z. Introduction of Airborne and Spaceborne Synthetic Aperture Radar[M]. Beijing: Publishing House of Electronics Industry, 2004: 27-28.
[14]	Yang J, Liu C, and Wang Y F. Detection and imaging of ground moving targets with real SAR data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(2): 920-923.
[15]	Yang J, Liu C, and Wang Y F. Imaging and parameter estimation of fast-moving targets with single-antenna SAR[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(2): 529-533.
[16]	Luo Y H, Song H J, Robert Wang, et al.. An accurate and efficient extended scene simulator for FMCW SAR with static and moving targets[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(10): 1672-1676.
[17]	L G H, Wang J F, and Liu X Z. Ground moving target indication in SAR images by symmetric defocusing[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(2): 241-245.
[18]	Li F K, Held D N, et al.. Doppler parameter estimation for spaceborne synthetic-aperture radars[J]. IEEE Transactions on Geoscience and Remote Sensing, 1985, 23(1): 47-56.
[19]	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.
[20]	Liu B, Yin K, Li Y, et al.. An improvement in multichannel SAR-GMTI detection in heterogeneous environments[J].IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(2): 810-827.
[21]	Li Y K, Wang T, Liu B C, et al.. High-resolution SAR imaging of ground moving targets based on the equivalent range equation[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(2): 324-328.
[22]	Cho B L, Kong Y K, Park H G, et al.. Automobile-based SAR/InSAR system for ground experiments[J]. IEEE Geoscience and Remote Sensing Letters, 2006, 3(3): 401-405.
[23]	Fornaro G, Franceschetti G, and Perna S. Trajectory deviations in airborne SAR: Analysis and compensation[J]. IEEE Transactions on Aerospace and Electronic Systems, 1999, 35(7): 997-1009.