Volume 9 Issue 1
Feb.  2020
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HUANG Yan, ZHAO Bo, TAO Mingliang, et al. Review of synthetic aperture radar interference suppression[J]. Journal of Radars, 2020, 9(1): 86–106. doi: 10.12000/JR19113
Citation: HUANG Yan, ZHAO Bo, TAO Mingliang, et al. Review of synthetic aperture radar interference suppression[J]. Journal of Radars, 2020, 9(1): 86–106. doi: 10.12000/JR19113

Review of Synthetic Aperture Radar Interference Suppression

doi: 10.12000/JR19113
Funds:  The National Natural Science Foundation of China (61901112, 61801297, 61801390), The Advanced Research Foundation (61404130223), The Natural Science Foundation of Jiangsu Province (BK20190330), Shenzhen University Foundation (2019119)
More Information
  • Corresponding author: HUANG Yan, yan_huang@seu.edu.cn
  • Received Date: 2019-12-17
  • Rev Recd Date: 2020-02-15
  • Available Online: 2020-03-11
  • Publish Date: 2020-02-28
  • Synthetic Aperture Radar (SAR) has attracted much attention in the recent decades owing to its all-weather and high-resolution working mode. As an active radar system, the high-resolution imaging process of SAR systems is affected by different types of strong, complex, and variable electromagnetic interferences that can severely affect the final high-resolution SAR imaging results. Thus, developing ways to effectively suppress complex electromagnetic interferences is a major challenge and focus of SAR detection. In this paper, we summarize the key elements and main concepts underlying interference suppression in high-resolution SAR imaging, including different interference patterns, interference sources, interference scattering mechanisms, radar antenna configurations, and target characteristics. We then consider the essential task of interference suppression algorithms. Recent papers that detail the representative SAR algorithms used to mitigate suppressed and deceptive jamming are introduced and summarized to provide references for future research.

     

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