Refinement of range-Doppler imagery by feedback control

Benjamin C. Flores; Alberto Ugarte

doi:10.1117/12.160624

15 October 1993 Refinement of range-Doppler imagery by feedback control

Benjamin C. Flores, Alberto Ugarte

Proceedings Volume 1960, Automatic Object Recognition III; (1993) https://doi.org/10.1117/12.160624
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

This paper describes extended work on a comprehensive rotational-motion estimation and compensation technique to improve the quality of range-Doppler imagery. The approach assumes that the target signature is a collection of samples in the frequency space aperture plane. Motion compensation is performed via a polar reformatting scheme that requires knowledge of target kinematics, while motion estimation is accomplished by monitoring an entropy-like function in terms of kinematic parameter estimates. When properly selected, the entropy-like function becomes an accurate measure of image sharpness, and can thus be used to control a down-hill simplex search which yields an optimum set of rotational-motion parameter estimates. Ultimately, this set is needed to produce an optimally focused target image.

Citation Download Citation

Benjamin C. Flores and Alberto Ugarte "Refinement of range-Doppler imagery by feedback control", Proc. SPIE 1960, Automatic Object Recognition III, (15 October 1993); https://doi.org/10.1117/12.160624

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