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

doi:10.1117/12.280883

22 July 1997 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

Proceedings Volume 3079, Detection and Remediation Technologies for Mines and Minelike Targets II; (1997) https://doi.org/10.1117/12.280883
Event: AeroSense '97, 1997, Orlando, FL, United States

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.

Citation Download Citation

Mahmood R. Azimi-Sadjadi, C. Yuan, M. A. Hasan, JoEllen Wilbur, and Gerald J. Dobeck "Target detection from TVSS shallow-water data using a multichannel subband adaptive filtering scheme", Proc. SPIE 3079, Detection and Remediation Technologies for Mines and Minelike Targets II, (22 July 1997); https://doi.org/10.1117/12.280883

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