Title :
Automatic recognition of the sonar signals using neural network
Author :
Abdel Allim, Onsy ; Hashem, Hassan Fahmy
Author_Institution :
Dept. of Electr. Eng., Alexandria Univ., Egypt
Abstract :
Much work has been performed in the area of automatic recognition of sonar signals in order to reduce the operator load when confronted with many beams of data concurrently. This paper describes a neural network system which is capable of recognizing different types of sonar signals. The given results show that neural network techniques have potential as possible implementation solutions for the recognition functions of targets with complex geometrical shape
Keywords :
feature extraction; neural nets; sonar signal processing; sonar target recognition; automatic recognition; geometrical shape; neural network; recognition functions; sonar signals; targets; Artificial neural networks; Discrete cosine transforms; Feature extraction; Neural networks; Prediction methods; Predictive models; Shape; Sonar detection; Target recognition; Underwater tracking;
Conference_Titel :
Radio Science Conference, 1998. NRSC '98. Proceedings of the Fifteenth National
Conference_Location :
Cairo
Print_ISBN :
0-7803-5121-5
DOI :
10.1109/NRSC.1998.711495
