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Volume 22 Issue 2
Mar.  2000
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Li Xi, Ni Jinlin, Liu Guosui, Luo Yi, Gu Hong, Su Weimin. PHASE COMPENSATION OF SAR/ISAR USING IMAGE COST FUNCTIONS[J]. Journal of Electronics & Information Technology, 2000, 22(2): 279-289.
Citation: Li Xi, Ni Jinlin, Liu Guosui, Luo Yi, Gu Hong, Su Weimin. PHASE COMPENSATION OF SAR/ISAR USING IMAGE COST FUNCTIONS[J]. Journal of Electronics & Information Technology, 2000, 22(2): 279-289.

PHASE COMPENSATION OF SAR/ISAR USING IMAGE COST FUNCTIONS

  • Received Date: 1998-10-22
  • Rev Recd Date: 1999-01-31
  • Publish Date: 2000-03-19
  • Phase compensation is a critical step of Synthetic Aperture Radar(SAR) and Inverse Synthetic Aperture Radar(ISAR) imaging technique. This paper proposes a progressive approach algorithm based on image cost function to compensate the random phase error in SAR/ISAR imagery. Four kinds of image cost function are discussed. The comparison of the proposed function is performed by analyzing the simulation and experimental results. It is found out that Shannon entropy function is the best one. Based on it, the interference phase in unknown signal can be estimated accurately.
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  • Ausherman D A,et al. Developments in radar imaging[J].IEEE Trans. on Aerospace and Electronic System.1984, AES-20(4):363-400[2]Jain A, Patel I. SAR/ISAR imaging of a nonuniformly rotating target. IEEE Trans. on Aerospace and Electronic System, 1992, AES-28(1): 317-321.[3]Werness S,et al. Moving target imaging algorithm for SAR data. IEEE Trans. on Aerospace and Electronic System, 1990, AES-26(1): 57-67.[4]Wahl D E,et al. Phase gradient autofocus-A robust tool for high resolution SAR phase correction.IEEE Trans. on Aerospace and Electronic System, 1994, AES-30(3): 827-835.[5]Benjamin C F, Ugarte A. Refinement of range-Doppler imagery by feedback control. SPIE Vo1.1960 Automatic Object Recognition Ⅲ (36-46).[6]Benjamin C F, et al. Choise of an entropy-like function for range-Doppler processing. SPIE Vo1.1960 Automatic object Recognition Ⅲ (47-56).[7]Pal N R, Pai S K. Entropy: A new definition and its application. IEEE Trans. on System, Man,and Cybernetics. 1991, SMC-21(5): 1260-1270.[8]Berizzi F, Cosini G. Autofocuing of inverse synthetic aperture radar images using contrast optimisation. IEEE Trans. on Aerospace and Electronic System, 1996, AES-32(3): 1185-1191.
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