Volume 30 Issue 02
Feb.  2004
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Chen Qi, Li Jingwen. Performance analysis and improvement of phase gradient autofocus algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2004, 30(02): 131-134. (in Chinese)
Citation: Chen Qi, Li Jingwen. Performance analysis and improvement of phase gradient autofocus algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2004, 30(02): 131-134. (in Chinese)

Performance analysis and improvement of phase gradient autofocus algorithm

  • Received Date: 28 Sep 2002
  • Publish Date: 29 Feb 2004
  • The realization of phase gradient autofocus (PGA) algorithm was described. Based on the analysis of the shortcoming of PGA and the study of the roles of the basic steps of phase gradient autofocus algorithm, two methods were proposed to improve the performance of the PGA algorithm. First, a new way to select window width was developed, which can accelerate the convergence of the autofocus; second, by selecting the appropriate row to processing, the effect of convergence of focus is good even under the condition of low SNR(signal-to-noise rate).

     

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  • [1] Jakoatz C V, Wahl D E. Spotlight-mode synthetic aperture radar:a signal processing approach[M]. Boston:Kluwer Academic Publishers, 1996.221~222 [2]Wahl D E,Eichel P H,Ghiglia D C, et al. Phase gradient autofocus——a robust tool for high resolution SAR phase correcton[J]. IEEE Transactions on Aerospace and Electronic Systems, 1994,30(3):827~834 [3]Jakowatz C V,Wahl D E. Eigenvector method for maximum- likelihood estimation of phase errors in synthetic-aperture radar imagery [J]. Optical Society of America,1993,10(12):2539~2545 [4]Tsakalides P,Nikias C L. High-resolution autofocus techniques for SAR imaging based on fractional lower-order statistics[J]. IEEE Proceedings-Radar,Sonar and Navigation,2001,148(5):267~276
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