Hypothesis likelihood function estimation for synthetic aperture radar targets

Thomas Fister; Frederick D. Garber; Steven C. Sawtelle; Raymond L. Withman

doi:10.1117/12.160627

15 October 1993 Hypothesis likelihood function estimation for synthetic aperture radar targets

Thomas Fister, Frederick D. Garber, Steven C. Sawtelle, Raymond L. Withman

Proceedings Volume 1960, Automatic Object Recognition III; (1993) https://doi.org/10.1117/12.160627
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

The work described in this paper focuses on recent progress in radar signal processing and target recognition techniques developed in support of WL/AARA target recognition programs. The goal of the program is to develop evaluation methodologies of hypotheses in a model- based framework. In this paper, we describe an hypothesis evaluation strategy that is predicated on a generalized likelihood function framework, and allows for incomplete or inaccurate descriptions of the observed unknown target. The target hypothesis evaluation procedure we have developed begins with a structural analysis by means of parametric modeling of the several radar scattering centers. The energy, location, dispersion, and shape of all measured target scattering centers are parametrized. The resulting structural description is used to represent each target and, subsequently, to evaluate the hypotheses of each of the targets in the candidate set.

Citation Download Citation

Thomas Fister, Frederick D. Garber, Steven C. Sawtelle, and Raymond L. Withman "Hypothesis likelihood function estimation for synthetic aperture radar targets", Proc. SPIE 1960, Automatic Object Recognition III, (15 October 1993); https://doi.org/10.1117/12.160627

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