Target detection from TVSS shallow-water data using a multichannel subband adaptive filtering scheme

Mahmood R. Azimi-Sadjadi, C. Yuan, M. A. Hasan, JoEllen Wilbur, Gerald J. Dobeck

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

2 Scopus citations

Abstract

In processing the Toroidal Volume Search Sonar (TVSS) data, the primary challenge is to detect targets in highly reverberant environments. This may be done by processing each sonar channel separately and estimating the time delays associated with the specular returns and then isolating these components from the background noise prior to beamforming. However, if there is significant reverberation it is difficult to accurately estimate time delays using only one sonar channel. Therefore, a multi-channel method is introduced that exploits the interdependency of adjacent sonar stave data. The method starts by enhancing signal to noise by combining multiple stave data after suitable phase compensation for array geometry. Next, time delays of the specular returns are estimated from the discrete wavelet sub-bands of the combined signal using a least squares method. The new method has been tested on several TVSS data sets, and the results are promising for even the most reverberant cases.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages36-47
Number of pages12
ISBN (Print)0819424943
StatePublished - Dec 1 1997
EventDetection and Remediation Technologies for Mines and Minelike Targets II - Orlando, FL, USA
Duration: Apr 21 1997Apr 24 1997

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume3079
ISSN (Print)0277-786X

Other

OtherDetection and Remediation Technologies for Mines and Minelike Targets II
CityOrlando, FL, USA
Period4/21/974/24/97

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