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Proceedings Paper

Wave-based target identification via the method of matched pursuits
Author(s): Mark R. McClure; Lawrence Carin
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Paper Abstract

Matched-pursuits is a nonlinear algorithm which iteratively projects a given signal onto a complete dictionary of vectors. The dictionary is constructed such that it is well matched to the signals of interest and poorly matched to the noise, thereby affording the potential for denoising, by adaptively extracting an underlying signature from a noisy waveform. In the context of wave scattering and propagation, there are basic constituents that can be used to construct most measured waveforms. A dictionary of such constituents is used here, in the context of wave-based matched-pursuit processing of acoustic waves scattered from submerged elastic targets. It is demonstrated how wave-based matched- pursuits can be utilized for denoising as well as to effect a detector, the latter being parametrized via its receiver operating characteristic.

Paper Details

Date Published: 28 July 1997
PDF: 12 pages
Proc. SPIE 3068, Signal Processing, Sensor Fusion, and Target Recognition VI, (28 July 1997); doi: 10.1117/12.280807
Show Author Affiliations
Mark R. McClure, Duke Univ. (United States)
Lawrence Carin, Duke Univ. (United States)

Published in SPIE Proceedings Vol. 3068:
Signal Processing, Sensor Fusion, and Target Recognition VI
Ivan Kadar, Editor(s)

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