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Volume 31 Issue 7
Dec.  2010
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Yang Yan-guang, Song Qian, Jin Tian, Wang Jian, Zhou Zhi-min. A Novel Adaptive Interferences Suppression and Background Uniformization Method Applicable to FLGPSAR System[J]. Journal of Electronics & Information Technology, 2009, 31(7): 1684-1689. doi: 10.3724/SP.J.1146.2008.00276
Citation: Yang Yan-guang, Song Qian, Jin Tian, Wang Jian, Zhou Zhi-min. A Novel Adaptive Interferences Suppression and Background Uniformization Method Applicable to FLGPSAR System[J]. Journal of Electronics & Information Technology, 2009, 31(7): 1684-1689. doi: 10.3724/SP.J.1146.2008.00276

A Novel Adaptive Interferences Suppression and Background Uniformization Method Applicable to FLGPSAR System

doi: 10.3724/SP.J.1146.2008.00276
  • Received Date: 2008-03-17
  • Rev Recd Date: 2009-01-19
  • Publish Date: 2009-07-19
  • To solve the problems of the self-signature interference and the nonuniformity of image background existing in the vehicle-mounted Forward-Looking Ground Penetrating Synthetic Aperture Radar (FLGPSAR) detection system, an adaptive method is proposed to realize interferences suppression and background uniformization based on distance-band partition and iterative operation techniques in the image domain. Parallel processing can be realized via distance-band partition, which can also improve the accuracy of parameters estimation. Parameters can be estimated and updated on line by using the iterative operation technique, and then the interference suppression and background gain uniformization can be adaptively achieved. Experimental results of the real data show that proposed method has a better adaptability to environment and is prone to real-time processing in structure. It can effectively meet the needs of the vehicle-mounted FLGPSAR system for image preprocessing.
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