Title :
Comparison between two methods for shallow water channel estimation
Author :
Mariotte, H. ; Labat, Nathalie
Author_Institution :
Dept. Signal et Commun., ENST, Brest, France
Abstract :
The underwater acoustic channel is probably one of the most complicated environments for data communication. We present here two differents methods for the characterization of a shallow water acoustic channel. The first method is based on an iterative least mean square algorithm, and the other one uses an adaptive identification filter
Keywords :
FIR filters; acoustic signal processing; adaptive filters; data communication; filtering theory; identification; iterative methods; least mean squares methods; telecommunication channels; underwater sound; FIR filter; adaptive identification filter; data communication; iterative least mean square algorithm; shallow water channel estimation; underwater acoustic channel; Adaptive filters; Attenuation; Binary sequences; Channel estimation; Delay; Doppler shift; Frequency; Iterative methods; Least mean square algorithms; Underwater acoustics;
Conference_Titel :
OCEANS '94. 'Oceans Engineering for Today's Technology and Tomorrow's Preservation.' Proceedings
Conference_Location :
Brest
Print_ISBN :
0-7803-2056-5
DOI :
10.1109/OCEANS.1994.363988
