Title :
A hybrid neural-fuzzy approach to VHF frequency management
Author :
Millström, Nancy H. ; Bonde, Allen R., Jr. ; Grimaldi, Michael J.
Author_Institution :
GTE Government Systems Corp., Needham Heights, MA, USA
Abstract :
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
Keywords :
digital signal processing chips; frequency allocation; fuzzy logic; land mobile radio; monitoring; neural nets; radiofrequency interference; real-time systems; VHF frequency management; classification; decision-making; detection; digital signal processing; fuzzy logic; hybrid neural-fuzzy approach; neural network techniques; real-time monitoring; Bonding; Digital signal processing; Frequency shift keying; Fuzzy control; Fuzzy logic; Fuzzy systems; Monitoring; Neural networks; Radiofrequency interference; Signal design;
Conference_Titel :
Neural Networks for Processing [1993] III. Proceedings of the 1993 IEEE-SP Workshop
Conference_Location :
Linthicum Heights, MD
Print_ISBN :
0-7803-0928-6
DOI :
10.1109/NNSP.1993.471844
