A hybrid neural-fuzzy approach to VHF frequency management

A hybrid neural-fuzzy approach to VHF frequency management

A hybrid architecture for real-time monitoring and analysis of the VHF band is proposed. The design employs digital signal processing and neural network techniques for detection and classification, along with novel fuzzy logic enhancements and decision-making. The resulting hybrid solution is shown...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Millstrom, N.H., Bonde, A.R., Grimaldi, M.J.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Bonding
Digital signal processing
Frequency shift keying
Fuzzy control
Fuzzy logic
Fuzzy systems
Monitoring
Neural networks
Radiofrequency interference
Signal design
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Beschreibung
Zusammenfassung:A hybrid architecture for real-time monitoring and analysis of the VHF band is proposed. The design employs digital signal processing and neural network techniques for detection and classification, along with novel fuzzy logic enhancements and decision-making. The resulting hybrid solution is shown to provide significant performance improvements as compared to a binary logic-based system, and it simplifies design and coding requirements.< >
DOI:10.1109/NNSP.1993.471844