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