DocumentCode :
290340
Title :
Parametric separation applied to underwater acoustic multipath propagation
Author :
Essebbar, A.
Author_Institution :
ENSIEG, CNRS, St. Martin d´´Heres, France
Volume :
ii
fYear :
1994
fDate :
19-22 Apr 1994
Abstract :
The authors focus on wave parameter estimation. They present a new method using a sliding spatial window along the antenna to improve the performance of parameter estimation and to estimate the shape of the wavefronts. First, ther recall the method which uses a maximum likelihood estimator (MLE) applied on broadband signals. The second part is devoted to applications on real data where the signal to be studied is obtained from a single moving hydrophone measuring the spatial properties of the acoustic multipath propagation
Keywords :
acoustic signal processing; acoustic wave propagation; array signal processing; maximum likelihood estimation; underwater sound; broadband signals; maximum likelihood estimator; ocean; parameter estimation; parametric separation; sliding spatial window; spatial properties; underwater acoustic multipath propagation; wavefront shape; Acoustic measurements; Acoustic propagation; Acoustic sensors; Additive noise; Antennas and propagation; Frequency; Maximum likelihood estimation; Parameter estimation; Sensor arrays; Underwater acoustics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
ISSN :
1520-6149
Print_ISBN :
0-7803-1775-0
Type :
conf
DOI :
10.1109/ICASSP.1994.389666
Filename :
389666
Link To Document :
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