Mean squared error performance of adaptive matched field localization under environmental uncertainty

Nigel Lee, Christ Richmond, Vitaly Kmelnitsky

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

2 Citations (Scopus)

Abstract

Matched field processing (MFP) is the use of full-field acoustic modeling to obtain improved detection and localization over conventional planewave and range focused beamforming in passive sonar signal processing. MFP localization (MFL), however, is a challenge in practice due to high ambiguities in the search surface that introduce large errors. In addition, uncertainties in environmental characterizations lead to mismatched field replicas that ultimately limit localization performance. Also, the adaptive nature of MFP requires use of estimated data covariances whose impact must be accounted for. The goal of this paper is to use the method of interval errors (MIE) to predict mean-squared error localization performance of MFL at moderate to low SNRs in the presence of mismatch, to assess system performance and sensitivities.

Original languageEnglish (US)
Title of host publication2012 IEEE Statistical Signal Processing Workshop, SSP 2012
Pages812-815
Number of pages4
DOIs
StatePublished - Nov 6 2012
Externally publishedYes
Event2012 IEEE Statistical Signal Processing Workshop, SSP 2012 - Ann Arbor, MI, United States
Duration: Aug 5 2012Aug 8 2012

Other

Other2012 IEEE Statistical Signal Processing Workshop, SSP 2012
CountryUnited States
CityAnn Arbor, MI
Period8/5/128/8/12

Fingerprint

Processing
Sonar
Acoustic fields
Beamforming
Signal processing
Uncertainty

ASJC Scopus subject areas

  • Signal Processing

Cite this

Lee, N., Richmond, C., & Kmelnitsky, V. (2012). Mean squared error performance of adaptive matched field localization under environmental uncertainty. In 2012 IEEE Statistical Signal Processing Workshop, SSP 2012 (pp. 812-815). [6319829] https://doi.org/10.1109/SSP.2012.6319829

Mean squared error performance of adaptive matched field localization under environmental uncertainty. / Lee, Nigel; Richmond, Christ; Kmelnitsky, Vitaly.

2012 IEEE Statistical Signal Processing Workshop, SSP 2012. 2012. p. 812-815 6319829.

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

Lee, N, Richmond, C & Kmelnitsky, V 2012, Mean squared error performance of adaptive matched field localization under environmental uncertainty. in 2012 IEEE Statistical Signal Processing Workshop, SSP 2012., 6319829, pp. 812-815, 2012 IEEE Statistical Signal Processing Workshop, SSP 2012, Ann Arbor, MI, United States, 8/5/12. https://doi.org/10.1109/SSP.2012.6319829
Lee N, Richmond C, Kmelnitsky V. Mean squared error performance of adaptive matched field localization under environmental uncertainty. In 2012 IEEE Statistical Signal Processing Workshop, SSP 2012. 2012. p. 812-815. 6319829 https://doi.org/10.1109/SSP.2012.6319829
Lee, Nigel ; Richmond, Christ ; Kmelnitsky, Vitaly. / Mean squared error performance of adaptive matched field localization under environmental uncertainty. 2012 IEEE Statistical Signal Processing Workshop, SSP 2012. 2012. pp. 812-815
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