Repository logo
 

Isolation of resonance in acoustic backscatter from elastic targets using adaptive estimation schemes

Simple item page
dc.contributor.authorWilbur, JoEllen, author
dc.contributor.authorAzimi-Sadjadi, Mahmood R., author
dc.contributor.authorDobeck, Gerald J., author
dc.contributor.authorIEEE, publisher
dc.date.accessioned2007-01-03T04:18:51Z
dc.date.available2007-01-03T04:18:51Z
dc.date.issued1995
dc.description.abstractThe problem of underwater target detection and classification from acoustic backscatter is the central focus of this paper. It has been shown that at certain frequencies the acoustic backscatter from elastic targets exhibits certain resonance behavior which closely relates to the physical properties of the target such as dimension, thickness, and composition. Several techniques in both the time domain and frequency domain have been developed to characterize the resonance phenomena in acoustic backscatter from spherical or cylindrical thin shells. The purpose of this paper is to develop an automated approach for identifying the presence of resonance in the acoustic backscatter from an unknown target by isolating the resonance part from the specular contribution. An adaptive transversal filter structure is used to estimate the specular part of the backscatter and consequently the error signal would provide an estimate of the resonance part. An important aspect of this scheme lies in the fact that it does not require an underlying model for the elastic return. The adaptation rule is based upon fast Recursive Least Squares (RLS) learning. The approach taken in this paper is general in the sense that it can be applied to targets of unknown geometry and thickness and, further, does not require any a priori information about the target and/or the environment. Test results on acoustic data are presented which indicate the effectiveness of the proposed approach.
dc.description.sponsorshipThe work of M. R. Azimi-Sadjadi was supported by the ASEE-ONR program under the High Area Rate Recon. Project. The work of J. Wilbur and G. J. Dobeck was supported by the ONR.
dc.format.mediumborn digital
dc.format.mediumarticles
dc.identifier.bibliographicCitationAzimi-Sadjadi, Mahmood R., JoEllen Wilbur, and Gerald J. Dobeck, Isolation of Resonance in Acoustic Backscatter from Elastic Targets Using Adaptive Estimation Schemes, IEEE Journal of Oceanic Engineering 20, no. 4 (October 1995): 346-353.
dc.identifier.urihttp://hdl.handle.net/10217/995
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofFaculty Publications
dc.rights©1995 IEEE.
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectbackscatter
dc.subjectlearning systems
dc.subjectadaptive filters
dc.subjectacoustic filters
dc.subjectacoustic resonance
dc.subjectleast squares approximations
dc.subjectobject detection
dc.subjectacoustic signal processing
dc.subjectacoustic wave scattering
dc.subjectresonance
dc.titleIsolation of resonance in acoustic backscatter from elastic targets using adaptive estimation schemes
dc.typeText

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ECEmra00059.pdf
Size:
742.34 KB
Format:
Adobe Portable Document Format
Description:
Download

Collections

Faculty Publications