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Proceedings Paper

ISAR range measurement via complex analysis and its application to motion compensation
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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. We propose a motion compensation method based on such phase slope analysis. To improve noise performance, the probability density function of additive noise corrupting the signature is modeled as a Weibull distribution to determine a threshold for constant false alarm rate filtering. Complex analysis is then utilized to determine sample intervals where noise is relatively weak, where the amplitude of the filtered signature is high above the noise interference level and the phase of the same signature is nearly linear Weighted least squares is subsequently used to estimate the target's kinematic parameters based on the phase slope measurement. 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: 14 October 1998
PDF: 8 pages
Proc. SPIE 3462, Radar Processing, Technology, and Applications III, (14 October 1998); doi: 10.1117/12.326766
Show Author Affiliations
Jae Sok Son, Univ. of Texas/El Paso (United States)
Benjamin C. Flores, Univ. of Texas/El Paso (United States)

Published in SPIE Proceedings Vol. 3462:
Radar Processing, Technology, and Applications III
William J. Miceli, Editor(s)

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