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Proceedings Paper

Radar target identification using multifractal geometry
Author(s): Ban Quach; Henry Leung; Titus K. Y. Lo; John Litva
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Paper Abstract

The design of a system to distinguish objects from measurements of their radar backscatter signals has been a topic of considerable investigation. In the identification of a particular target out of a library of possible targets, the difficulty is that the radar signals cannot be fed rawly into a classifier. Some signal processing has to be done to generate the signal features for target identification. In this paper, multifractal geometry is applied to address the practical issue of discrimination between fishing boat, growlers (small pieces of glacial ice) and sea scattered signals, which is important for search-and-rescue operation. An efficient box-counting method is used to compute the generalized dimension and the multifractal spectrum of different targets and sea scattered signals. In an effort to support our study, X-band radar measurements were collected and analyzed to determine the separability of sea surface targets and sea scattered signals using the multifractal geometry.

Paper Details

Date Published: 14 June 1996
PDF: 12 pages
Proc. SPIE 2755, Signal Processing, Sensor Fusion, and Target Recognition V, (14 June 1996); doi: 10.1117/12.243200
Show Author Affiliations
Ban Quach, McMaster Univ. (Canada)
Henry Leung, Defence Research Establishment Ottawa (Canada)
Titus K. Y. Lo, McMaster Univ. (Canada)
John Litva, McMaster Univ. (Canada)

Published in SPIE Proceedings Vol. 2755:
Signal Processing, Sensor Fusion, and Target Recognition V
Ivan Kadar; Vibeke Libby, Editor(s)

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