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Volume 31 Issue 2
Dec.  2010
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Li Gang, Peng Ying-ning, Xia Xiang-gen. Improved RDM for SAR Autofocusing[J]. Journal of Electronics & Information Technology, 2009, 31(2): 349-352. doi: 10.3724/SP.J.1146.2007.01540
Citation: Li Gang, Peng Ying-ning, Xia Xiang-gen. Improved RDM for SAR Autofocusing[J]. Journal of Electronics & Information Technology, 2009, 31(2): 349-352. doi: 10.3724/SP.J.1146.2007.01540

Improved RDM for SAR Autofocusing

doi: 10.3724/SP.J.1146.2007.01540
  • Received Date: 2007-09-21
  • Rev Recd Date: 2008-01-30
  • Publish Date: 2009-02-19
  • Radar (SAR) autofocus processing, whose performance degenerates with low contrast of the scene. This paper proposes an improved RDM for SAR autofocusing. Based on the relationship between the Doppler rate and the range, the proposed method can adaptively overcome the effect of the low contrast on the Doppler rate estimation and obtain fine autofocusing results. The experiments with real SAR data show the effectivity of the proposed method.
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  • 禹卫东. 合成孔径雷达信号处理研究. [博士论文], 南京: 南京航空航天大学, 1997.[2]Oliver C and Quegan S. Understanding Synthetic ApertureRadar Images. Norwood, MA: Artech House, 1998, Chap. 2.[3]Wahl D E, Eichel P H, and Ghiglia D C, et al.. Phasegradient autofocusA robust tool for high resolution SARphase correction[J].IEEE Trans. on Aerospace and ElectronicSystems.1994, 30(3):827-835[4]Van Rossum W L, Otten M P G, and Van Bree R J P.Extended PGA for range migration algorithms[J].IEEE Trans.on Aerospace and Electronic Systems.2006, 42(2):478-488[5]Dall J. A new frequency domain autofocus algorithm forSAR. In Proceedings of IGARSS91, Helsinki, Finland, 1991:1069-1072.[6]Moreira J R. A new method of aircraft motion errorextraction from radar raw data for real time motioncompensation[J].IEEE Trans. on Geoscience and RemoteSensing.1990, 28(4):620-626[7]Xu J, Peng Y N, and Xia X G. Parametric SAR autofocusing:inherent accuracy limitations and realization[J].IEEE Trans.on Geoscience and Remote Sensing.2004, 42(11):2397-2411[8]Wang J and Liu X. SAR minimum-entropy autofocus usingan adaptive-order polynomial model[J].IEEE Geoscience andRemote Sensing Letters.2006, 3(4):512-516
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