Model-based signal processing for passive source localization

Brett E. Bissinger, R. Lee Culver

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We address model-based processing approaches for source depth and range estimation using passive sonar. Two model-based methods have been investigated to date: temporal variations in received amplitude (Jemmott and Culver, 2011) and spectral striation (waveguide invariant) matching (Sell and Culver, 2011). We have shown that both methods provide satisfactory results when the environment is sufficiently well known to produce accurate acoustic model predictions. The methods are incoherent or energy-based and are thus less demanding than matched field processing (MFP). Another model-based source depth estimation method that shows promise is mode-filtering (Premus, 1997). It too is model-based and successful application depends upon sufficient environmental knowledge, and again is distinct and less demanding than MFP. Current research is directed toward comparing these methods in terms of correct classification, as well as robustness to errors in environmental knowledge. Work sponsored by ONR Undersea Signal Processing.

Original languageEnglish (US)
Title of host publication11th European Conference on Underwater Acoustics 2012, ECUA 2012
Pages1166-1171
Number of pages6
EditionPART 3
StatePublished - 2012
Event11th European Conference on Underwater Acoustics 2012, ECUA 2012 - Edinburgh, United Kingdom
Duration: Jul 2 2012Jul 6 2012

Publication series

Name11th European Conference on Underwater Acoustics 2012, ECUA 2012
NumberPART 3
Volume34 2

Other

Other11th European Conference on Underwater Acoustics 2012, ECUA 2012
Country/TerritoryUnited Kingdom
CityEdinburgh
Period7/2/127/6/12

All Science Journal Classification (ASJC) codes

  • Acoustics and Ultrasonics

Fingerprint

Dive into the research topics of 'Model-based signal processing for passive source localization'. Together they form a unique fingerprint.

Cite this