Neural networks for signal detection in non-Gaussian noise

Neural networks for signal detection in non-Gaussian noise

We employ neural networks to detect known signals in additive non-Gaussian noise. Training of the neural network for signal detection and its operation at some specified probability of false alarm are discussed. Performance of neural detectors are presented under several non-Gaussian noise environme...

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Veröffentlicht in:IEEE transactions on signal processing 1997-11, Vol.45 (11), p.2846-2851
Hauptverfasser: Gandhi, P.P., Ramamurti, V.
Format: Artikel
Sprache:eng
Schlagworte:
Additive noise
Detectors
Intelligent networks
Matched filters
Neural networks
Radar detection
Signal detection
Signal processing
Sonar detection
Working environment noise
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Zusammenfassung:We employ neural networks to detect known signals in additive non-Gaussian noise. Training of the neural network for signal detection and its operation at some specified probability of false alarm are discussed. Performance of neural detectors are presented under several non-Gaussian noise environments and are compared with those of matched filter and locally optimum detectors.
ISSN:1053-587X
1941-0476
DOI:10.1109/78.650111