DocumentCode
2946251
Title
Neural networks for active echo classification
Author
Maksym, Joseph N.
Author_Institution
Defence Res. Establ. Atlantic, Dartmouth, NS, Canada
Volume
5
fYear
1995
fDate
9-12 May 1995
Firstpage
3595
Abstract
The paper explores the use of an artificial neural network to distinguish between echoes from a constellation of acoustic reflectors representing a target and similar echoes produced by other reflectors, e.g. reverberation. The network was both trained and tested with simulated data. A wide band linear frequency modulated pulse was used in order to resolve the highlights of the target
Keywords
echo; frequency modulation; learning (artificial intelligence); neural nets; pattern classification; pulse frequency modulation; sonar signal processing; acoustic reflectors; active echo classification; artificial neural network; reverberation; target; wide band linear frequency modulated pulse; Acoustic pulses; Acoustic reflection; Acoustic testing; Artificial neural networks; Chirp modulation; Frequency modulation; Neural networks; Pulse modulation; Reverberation; Wideband;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location
Detroit, MI
ISSN
1520-6149
Print_ISBN
0-7803-2431-5
Type
conf
DOI
10.1109/ICASSP.1995.479764
Filename
479764
Link To Document