Paper
14 October 1998 ISAR range measurement via complex analysis and its application to motion compensation
Author Affiliations +
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jae Sok Son and Benjamin C. Flores "ISAR range measurement via complex analysis and its application to motion compensation", Proc. SPIE 3462, Radar Processing, Technology, and Applications III, (14 October 1998); https://doi.org/10.1117/12.326766
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KEYWORDS
Phase measurement

Signal to noise ratio

Motion estimation

Motion analysis

Interference (communication)

Motion measurement

Optical filters

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