Conference proceeding
Sonar target detection and classification against non-stationary interference using dynamic time-frequency localization
2013 Asilomar Conference on Signals, Systems and Computers, pp.940-944
11/2013
DOI: 10.1109/ACSSC.2013.6810427
Abstract
We address the well-known challenge of detecting a target in non-stationary clutter in active sonar using dynamic time-frequency localization. The challenge is to track a target against non-stationary reverberation from the bottom and sea surface, as well as backscatter from biologics. Definition of "target" is application-specific, e.g. in a Naval application the target would typically be a submarine or mine, in another application the target is an environmental AUV sensor tracing pollutant flow along the coast. Examples of non-targets include bathymetric features, wrecks, fish schools, other AUVs, etc. We present a concept for an adaptive subspace-tracking algorithm that navigates the time-frequency space of the target echo dynamically to provide enhanced target detection and classification. Simulation results are presented.
Details
- Title: Subtitle
- Sonar target detection and classification against non-stationary interference using dynamic time-frequency localization
- Creators
- Ananya Sen Gupta - University of IowaIvars Kirsteins - Naval Undersea Warfare Center
- Resource Type
- Conference proceeding
- Publication Details
- 2013 Asilomar Conference on Signals, Systems and Computers, pp.940-944
- Publisher
- IEEE
- DOI
- 10.1109/ACSSC.2013.6810427
- ISSN
- 1058-6393
- eISSN
- 2576-2303
- Language
- English
- Date published
- 11/2013
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984196964002771
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