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Comparison between different HOS-based tests for detection of ship-radiated signals in non-Gaussian noise
Comparison between different HOS-based tests for detection of ship-radiated signals in non-Gaussian noise
- Source :
- Proceedings of OCEANS'94.
- Publication Year :
- 2002
- Publisher :
- IEEE, 2002.
-
Abstract
- Conventional signal processing algorithms and detection criteria, optimised in presence of Gaussian noise, may degrade their performances in non-Gaussian environments. Higher Order Statistics (HOS) theory is a powerful means both for characterizing non-Gaussian noise and, then, for designing efficient and robust signal detectors. In particular, a method for detecting signals in additive independent non-Gaussian background noise have been investigated, analysed and compared with the bispectrum-based Hinich test and with a conventional spectrum-based detection criterion. In order to compare their respective performances, the different approaches have been applied on real underwater acoustic data, recording the passage of a target ship, in presence of background shipping traffic noise. >
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of OCEANS'94
- Accession number :
- edsair.doi.dedup.....1c74d393057a2cad6874c132955cf621
- Full Text :
- https://doi.org/10.1109/oceans.1994.363843