Date of Award
2012
Document Type
Thesis
Publication Status
Version of Record
Submission Date
October 2026
Abstract
This thesis presents a comparative analysis of various low-frequency sonar signature representations and their ability to discriminate between proud targets of varying physical parameters. The signature representations used include: synthetic aperture sonar (SAS) beamformed images, acoustic color plot images, and bispectral images. A relative Mean-Square Error (rMSE) performance metric and an effective Signal-to-Noise Ratio (SNReff) performance metric have been developed and implemented to quantify the target differentiation. The analysis is performed on a subset of the synthetic sonar stave data provided by the Naval Surface Warfare Center - Panama City Division (NSWC-PCD). The subset is limited to aluminum and stainless steel, thin-shell, spherical targets in contact with the seafloor (proud). It is determined that the SAS signature representation provides the best, least ambiguous, target differentiation with a minimum mismatch difference of 14.5802 dB. The acoustic color plot and bispectrum representations resulted in a minimum difference of 9.1139 dB and 1.8829 dB, respectively
Extent
xv, 125 p. : ill. (some col.)
Recommended Citation
Mallen, Brenton., "Proud elastic target discrimination using low-frequency sonar signatures" (2012). Electronic Theses and Dissertations 2010 - 2019. 618.
https://digitalcommons.fau.edu/etd_general_6/618
Identifier
FADT3342210
Comments
by Brenton Mallen.|Thesis (M.S.C.S.)--Florida Atlantic University, 2012.|Includes bibliography.|Electronic reproduction. Boca Raton, Fla., 2012. Mode of access: World Wide Web.|by Brenton Mallen.