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Proceedings Paper

Relationships between autofocus methods for SAR and self-survey techniques for SONAR
Author(s): Daniel E. Wahl; Charles V. Jakowatz; Dennis C. Ghiglia; Paul H. Eichel
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Paper Abstract

Autofocus methods in SAR and self-survey techniques in SONAR have a common mathematical basis in that they both involve estimation and correction of phase errors introduced by sensor position uncertainties. Time delay estimation and correlation methods have been shown to be effective in solving the self-survey problem for towed SONAR arrays. Since it can be shown that platform motion errors introduce similar time-delay estimation problems in SAR imaging, the question arises as to whether such techniques could be effectively employed for autofocus of SAR imagery. With a simple mathematical model for motion errors in SAR, we show why such correlation/time-delay techniques are not nearly as effective as established SAR autofocus algorithms such as phase gradient autofocus or sub- aperture based methods. This analysis forms an important bridge between signal processing methodologies for SAR and SONAR.

Paper Details

Date Published: 1 December 1991
PDF: 9 pages
Proc. SPIE 1567, Applications of Digital Image Processing XIV, (1 December 1991); doi: 10.1117/12.50862
Show Author Affiliations
Daniel E. Wahl, Sandia National Labs. (United States)
Charles V. Jakowatz, Sandia National Labs. (United States)
Dennis C. Ghiglia, Sandia National Labs. (United States)
Paul H. Eichel, Sandia National Labs. (United States)

Published in SPIE Proceedings Vol. 1567:
Applications of Digital Image Processing XIV
Andrew G. Tescher, Editor(s)

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