Wave-based target identification via the method of matched pursuits

M McClure*, L Carin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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 marched to the signals of interest acid 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 oi 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 (ROC).

Original languageEnglish
Title of host publicationSIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION VI
Editors Kadar
PublisherSPIE-INT SOC OPTICAL ENGINEERING
Pages284-295
Number of pages12
ISBN (Print)0-8194-2483-8
DOIs
StatePublished - 1997
Externally publishedYes
EventConference on Signal Processing, Sensor Fusion, and Target Recognition VI - ORLANDO
Duration: Apr 21 1997Apr 24 1997

Publication series

NamePROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
PublisherSPIE - INT SOC OPTICAL ENGINEERING
Volume3068

Conference

ConferenceConference on Signal Processing, Sensor Fusion, and Target Recognition VI
CityORLANDO
Period04/21/9704/24/97

Keywords

  • signal processing
  • detection
  • denoising
  • scattering

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