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Proceedings Paper

Ultrawideband radar data models and target detection with adaptive rank-order filters
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Paper Abstract

A number of aspects of ultra-wideband radar target detection analysis and algorithm development are addressed. The first portion of the paper describes a bi-modal technique for modeling ultra-wideband radar clutter. This technique was developed based on an analysis of ultra-wideband radar phenomenology. Synthetic image samples that were generated by this modeling process are presented. This sample set is characterized by a number of physical parameters. The second portion of this paper describes an approach to developing a class of filters, known as rank-order filters, for ultra-wideband radar target detection applications. The development of a new rank-order filter denoted as a discontinuity filter is presented. Comparative target detection results are presented as a function of data model parameters. The comparative results include discontinuity filter performance versus the performance of median filtering and CFAR filtering.

Paper Details

Date Published: 1 August 2002
PDF: 10 pages
Proc. SPIE 4727, Algorithms for Synthetic Aperture Radar Imagery IX, (1 August 2002); doi: 10.1117/12.478671
Show Author Affiliations
Atindra K. Mitra, Air Force Research Lab. (United States)
Thomas L. Lewis, Air Force Research Lab. (United States)
Anindya S. Paul, Wright State Univ. (United States)
Arnab Kumar Shaw, Wright State Univ. (United States)


Published in SPIE Proceedings Vol. 4727:
Algorithms for Synthetic Aperture Radar Imagery IX
Edmund G. Zelnio, Editor(s)

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