Volume 4 Issue 3
Jul.  2015
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Zhou Hui, Zhao Feng-jun, Yu Wei-dong, Yang Jian. SAR Imaging of Ground Moving Targets with Non-ideal Motion Error Compensation(in English)[J]. Journal of Radars, 2015, 4(3): 265-275. doi: 10.12000/JR15024
Citation: Zhou Hui, Zhao Feng-jun, Yu Wei-dong, Yang Jian. SAR Imaging of Ground Moving Targets with Non-ideal Motion Error Compensation(in English)[J]. Journal of Radars, 2015, 4(3): 265-275. doi: 10.12000/JR15024

SAR Imaging of Ground Moving Targets with Non-ideal Motion Error Compensation(in English)

DOI: 10.12000/JR15024
Funds:

Supported by the National Ministries Foundation.

  • Received Date: 2015-02-11
  • Rev Recd Date: 2015-04-16
  • Publish Date: 2015-06-28
  • 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.

     

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  • [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.
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