Paper
1 August 2002 Stepped-frequency ISAR motion compensation using maximum likelihood phase gradient
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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.
© (2002) 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 "Stepped-frequency ISAR motion compensation using maximum likelihood phase gradient", Proc. SPIE 4727, Algorithms for Synthetic Aperture Radar Imagery IX, (1 August 2002); https://doi.org/10.1117/12.478679
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Cited by 1 scholarly publication.
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KEYWORDS
Phase measurement

Motion estimation

Signal to noise ratio

Radar

Detection and tracking algorithms

Interference (communication)

Motion measurement

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