A practical modified autofocus algorithm for synthetic aperture radar, the iterative shift-and-correlation algorithm, is presented, Comparing with the original shift-and-correlation algorithm, the modified one can obtain more accurate estimations in worse case by incorporating the appropriate iterations, the new weightings and the auto-selecting width of the detecting window. Both the theoretical analyses and the test results indicate that the iterative shift-and-correlation algorithm can obtain more reliable results with a cost of slight increment of the computational complexity.
Franceschetti G, Lannari R. Synthetic Aperture Radar Processing.Boca Raton, London, New York, Washington DC, CRC Press,1999, Chapter 3.[2]Curlander J C, Wu C, Pang A. Automated processing of spaceborne SAR data. Proceedings of IGARSS82, Munich, Jun.1982:FA-1/3.11 - 6.[3]Berizzi F, Corsini G, Diani M, et al.. Autofocus of wide azimuth angle SAR images by contrast optimisation. Proceedings of IGARSS96, Nebrasca, Jun 1996:1230 - 1232.[4]WAHL D E, et al.. Phase gradient autofocus-A robust tool for high resolution SAR phase correction[J].IEEE Trans. on Aerospace and Electronic Systems.1994, 30(3):827-[5]Dali J. A new frequency domain autofocus algorithm for SAR[J].Proceedings of IGARSS91, Heisinki, Jun.1991, Vol.2:1069-1072[6]Dali J. A fast autofocus algorithm for synthetic aperture radar processing. IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP-92), San Francisco, Mar. 1992,part Ⅲ: 5-8.