Title :
All neural network sonar discrimination system
Author :
Cottle, D.W. ; Hamilton, D.J.
Author_Institution :
Raytheon Submarine Signal Div., Portsmouth, RI, USA
Abstract :
The authors present a summary of the status of an ongoing investigation into how effective various neural network paradigms are in military sonar system functions. Specifically, the authors investigate the potential use of neural network technology in the detection, feature extraction, feature optimization, and classification portions of a sonar signal discrimination system. Preliminary results given suggest that neural network techniques have potential as implementation solutions for at least the detection and classification functions
Keywords :
acoustic signal processing; optimisation; pattern recognition; signal detection; sonar; underwater sound; classification; detection; feature extraction; feature optimization; military sonar system functions; neural network paradigms; sonar discrimination system; Acoustic beams; Computer vision; Feature extraction; Filtering; Fuzzy logic; Marine technology; Neural networks; Signal processing; Sonar detection; Underwater vehicles;
Conference_Titel :
Neural Networks for Ocean Engineering, 1991., IEEE Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-0205-2
DOI :
10.1109/ICNN.1991.163322