Method to suppress moving targets in SAR images

被引：0
|
作者：
Xiao L. [1 ,2 ]
Li X. [1 ,2 ]
Sun G. [1 ,2 ]
Xing M. [1 ,2 ]
机构：
[1] National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an
[2] Collaborative Innovation Center of Information Sensing and Understanding, Xidian Univ., Xi'an
来源：
Xing, Mengdao (xmd@xidian.edu.cn) | 1600年 / Science Press卷 / 44期
关键词：
Deramp; Dynamic steering vector; High-resolution and wide-swath; Space-time adaptive processing framework; Synthetic aperture radar;
D O I：
10.3969/j.issn.1001-2400.2017.02.002
中图分类号：
学科分类号：
摘要：
In the high-resolution wide-swath (HRWS) SAR system, the moving targets are usually smeared and imaged at incorrect positions in the resulting SAR image by utilizing the traditional stationary scene imaging processing. Moreover, these defocused moving targets may cover the stationary scene. The number of spatial degrees of freedom required for suppressing moving targets by the traditional space-time adaptive processing framework is equal to the number of the moving targets in the SAR scene multiplied by the PRF undersampling number. This requirement is hard to meet in practice. In order to overcome the above problem, a new space-time adaptive processing framework based on azimuth Deramp processing is proposed in this paper. Firstly, the moving targets are coarsely focused in the space-time plane through the azimuth Deramp processing. In this case, only one spatial degree of freedom is needed for suppressing one moving target. If there are multiple targets, it can effectively reduce the required degrees of freedom by utilizing the dynamic steering vector concept. Last, simulation results are provided to show the validity of the proposed method. © 2017, The Editorial Board of Journal of Xidian University. All right reserved.
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页码：8 / 13
页数：5
相关论文
共 13 条
  • [1] Freeman A., Johnson W.T.K., Huneycutt B., Et al., The “myth” of the Minimum SAR Antenna Area Constraint, IEEE Transactions on Geoscience and Remote Sensing, 38, 1, pp. 320-324, (2000)
  • [2] Cerutti-Maori D., Sikaneta I., Klare J., Et al., MIMO SAR Processing for Multichannel High-resolution Wide-swath radars, IEEE Transactions on Geoscience and Remote Sensing, 52, 8, pp. 5034-5055, (2014)
  • [3] Xing M., Sun G., Li X., Study on SAR/GMTI Processing for High-resolution Wide-swath SAR System, Journal of Radars, 4, 4, pp. 375-385, (2015)
  • [4] Schulz F., Suppressing Moving Target Artifacts in Multi-channel Stripmap SAR Images by Space-doppler Filtering, IEEE Journal of Selected Topics in Signal Processing, 5, 3, pp. 494-503, (2011)
  • [5] Wang T., Zhao Y., Hu T., Overview of Space-time Adaptive Processing for Airborne Multiple-input Multiple-output Radar, Journal of Radars, 4, 2, pp. 136-148, (2015)
  • [6] Du W., Liao G., Yang Z., Performance Analysis of the Polarization-space-time Adaptive Processing, Journal of Xidian University, 41, 1, pp. 1-5, (2014)
  • [7] Bamler R., Runge H., PRF-ambiguity Resolving by Wavelength Diversity, IEEE Transactions on Geoscience and Remote Sensing, 29, 6, pp. 997-1003, (1991)
  • [8] Yang H., Wang R., Li F., Et al., Ground Moving Target Extraction in A Multichannel Wide-area Surveillance SAR/GMTI System via the Relaxed PCP, IEEE Geoscience and Remote Sensing Letters, 10, 3, pp. 617-621, (2013)
  • [9] Zhang X.P., Liao G.S., Zhu S.Q., Efficient Compressed Sensing Method for Moving-target Imaging by Exploiting the Geometry Information of the Defocused Results, IEEE Geoscience and Remote Sensing Letters, 12, 3, pp. 517-521, (2015)
  • [10] Ender J.H.G., Gierull C.H., Cerutti-Maori D., Improved Space-based Moving Target Indication via Alternate Transmission and Receiver Switching, IEEE Transactions on Geoscience Remote Sensing, 46, 12, pp. 3960-3974, (2008)
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