A self-cohering technique for linear arrays using the Phase Gradient Autofocus Algorithm
A towed linear hydrophone array is subject to snakelike bending. If the array were processed as if it were truly linear, poor array gain coupled with a degraded source bearing estimate would result. The signal phase errors produced by sensor position uncertainty in passive sonar arrays are similar to those observed in Synthetic Aperture Radar (SAR) imagery. The Phase Gradient Autofocus (PGA) Algorithm has been shown to be a robust and effective method used to extract degrading phase errors prevalent in SAR imagery. This report shows that with slight modifications, the PGA algorithm can be applied to correct phase errors resulting from sensor position uncertainty introduced into linear-passive arrays. The results of the technique applied to simulated linear array data is also presented. 9 refs., 8 figs.
- Research Organization:
- Sandia National Labs., Albuquerque, NM (USA)
- Sponsoring Organization:
- USDOE; USDOE, Washington, DC (USA)
- DOE Contract Number:
- AC04-76DP00789
- OSTI ID:
- 6253031
- Report Number(s):
- SAND-90-2519; ON: DE91009099
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
SONAR
ALGORITHMS
FOCUSING
CORRECTIONS
DATA ANALYSIS
P CODES
PHASE SHIFT
SOUND WAVES
COMPUTER CODES
MATHEMATICAL LOGIC
MEASURING INSTRUMENTS
RANGE FINDERS
440800* - Miscellaneous Instrumentation- (1990-)
990200 - Mathematics & Computers