Relationships between autofocus methods for SAR and self-survey techniques for SONAR
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
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 will 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.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC04-76DP00789
- OSTI ID:
- 5678208
- Report Number(s):
- SAND--91-0106C; CONF-9107115--4; ON: DE91014658
- Journal Information:
- Proceedings of SPIE - The International Society for Optical Engineering, Journal Name: Proceedings of SPIE - The International Society for Optical Engineering; ISSN 0277-786X
- Publisher:
- SPIE
- Country of Publication:
- United States
- Language:
- English
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FOCUSING
IMAGE PROCESSING
IMAGES
MATHEMATICAL MODELS
MEASURING INSTRUMENTS
PHASE SHIFT
PHASE STUDIES
PROCESSING
RADAR
RANGE FINDERS
SONAR
SYNTHETIC-APERTURE RADAR