Paper
28 July 1997 Wave-based target identification via the method of matched pursuits
Mark R. McClure, Lawrence Carin
Author Affiliations +
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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mark R. McClure and Lawrence Carin "Wave-based target identification via the method of matched pursuits", Proc. SPIE 3068, Signal Processing, Sensor Fusion, and Target Recognition VI, (28 July 1997); https://doi.org/10.1117/12.280807
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Associative arrays

Detection and tracking algorithms

Signal to noise ratio

Sensor performance

Denoising

Target detection

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