论文信息 - A survey on ISAR autofocusing techniques

A survey on ISAR autofocusing techniques

Over many years of research, several ISAR autofocusing techniques have been proposed. Today, we can divide them into two main categories: parametric and non-parametric techniques. The prominent point processing and the phase gradient algorithm are two classical examples of non-parametric techniques, whereas the more recent image contrast and entropy based techniques represent a new generation of parametric techniques. In this paper, the advantages and disadvantages of each technique are highlighted and a performance analysis is carried out by means of ISAR image reconstruction of real data.

[1] M. Martorella,et al. Performance analysis of a contrast-based ISAR autofocusing algorithm , 2002, Proceedings of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322).

[2] B. D. Steinberg,et al. Improved adaptive-beamforming target for self-calibrating a distorted phased array , 1990 .

[3] Charles V. Jakowatz,et al. Phase gradient autofocus-a robust tool for high resolution SAR phase correction , 1994 .

[4] B. Steinberg. Radar imaging from a distorted array: The radio camera algorithm and experiments , 1981 .

[5] G. Carter. Time delay estimation for passive sonar signal processing , 1981 .

[6] Li Xi,et al. Autofocusing of ISAR images based on entropy minimization , 1999 .

[7] Jian Li,et al. Robust autofocus algorithm for ISAR imaging of moving targets , 2001 .

[8] F. Berizzi,et al. Autofocusing of inverse synthetic aperture radar images using contrast optimization , 1996, IEEE Transactions on Aerospace and Electronic Systems.