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Proceedings Paper

Stepped-frequency ISAR motion compensation using maximum likelihood phase gradient
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Paper Abstract

Standard ISAR image focusing techniques utilize the magnitude and position of range domain target signatures to achieve translational motion compensation. Alternatively, range can be determined by analyzing the slope of the unwrapped phase function associated with the frequency domain signature of a moving target. Phase slope based method uses the phase of the target's echo transfer function to calculate a focal quality indicator while avoiding two-dimensional Fourier processing. Simple phase averaging of targets having low signal-to-noise ratio does not lead to a useful estimate of the signal phase. Maximum likelihood phase gradient estimation method is then utilized to determine the phase slope of the radar signature. The presence of an absolute minimum without local minima guarantees that the estimated motion parameters are an accurate representation of the target's motion and allows the use of a simple search procedure. Results show that parameter estimates for motion compensation obtained in this manner converge to a unique solution, thus providing focused ISAR imagery of the target.

Paper Details

Date Published: 1 August 2002
PDF: 9 pages
Proc. SPIE 4727, Algorithms for Synthetic Aperture Radar Imagery IX, (1 August 2002); doi: 10.1117/12.478679
Show Author Affiliations
Jae Sok Son, Univ. of Texas/Pan American (United States)
Benjamin C. Flores, Univ. of Texas/El Paso (United States)


Published in SPIE Proceedings Vol. 4727:
Algorithms for Synthetic Aperture Radar Imagery IX
Edmund G. Zelnio, Editor(s)

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