Volume 8 Issue 1
Mar.  2019
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Article Navigation >  Journal of Radars  > 2019  >  8(1): 82-89
MENG Zhichao, LU Jingyue, and ZHANG Lei. Forward-looking multi-channel SAR adaptive identification to suppress deception jamming[J]. Journal of Radars, 2019, 8(1): 82–89. doi: 10.12000/JR18081
Citation: MENG Zhichao, LU Jingyue, and ZHANG Lei. Forward-looking multi-channel SAR adaptive identification to suppress deception jamming[J]. Journal of Radars, 2019, 8(1): 82–89. doi: 10.12000/JR18081
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Forward-looking Multi-channel SAR Adaptive Identification to Suppress Deception Jamming

doi: 10.12000/JR18081

  • National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China

Funds:  The National Natural Science Foundation of China(61771372, 61771367), Sponsored by Natural Science Foundation of Shanghai (16ZR1434900)
More Information
  • Corresponding author: ZHANG Lei, leizhang@xidian.edu.cn
  • Received Date: 2018-09-27
  • Rev Recd Date: 2018-10-23
    • Available Online: 2018-11-22
  • Publish Date: 2019-02-28
    Abstract
  • Forward-looking multi-channel SAR imaging suffers from ambiguity regarding left and right echoes. To deblur the imaging process, spatial resources must be used, which make the imaging process more complex than the general side-looking SAR. In complex electromagnetic environments, it is very difficult to obtain forward-looking SAR images without interference or ambiguity. In this paper, we present an adaptive discriminant suppression algorithm that addresses deception jamming based on Azimuth ADaptive Beam Forming (AADBF). First, we use the AADBF technique to cancel the multi-channel received echo signal and retain the deception jamming samples. Then, we use the threshold detection method to identify the pixel location of the deception jamming on high-resolution SAR images. Finally, we apply adaptive spatial filtering to pixels with interference to achieve anti-deception jamming. Simulation results show that this method can effectively identify and suppress deception jamming, while realizing forward-looking SAR non-interference focusing imaging.

     

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