Moving Targets in Synthetic Aperture Images: A Bayesian Approach

This paper presents a novel method to determine the complete velocity vector of a moving target using a single Synthetic Aperture Radar (SAR) sensor. The method exploits the structure of the returned echo from a moving target: in the slow-time frequency domain, it is a scaled and shifted replica of the antenna radiation pattern immersed in Gaussian noise; the scale and the shift are related with the slant-range and the cross-range velocities, respectively. A Bayesian approach is then adopted to derive an estimator for the velocity vector. Simulation results illustrating the estimator effectiveness are presented.

• Type: Conference
• Year: 2000
• Where: ICIP
• Authors: José M. B. Dias, Paulo A. C. Marques
• Keywords: Antenna Radiation Pattern, Complete Velocity Vector, ICIP 2000, Image Processing, Synthetic Aperture Radar