DocumentCode :
2910295
Title :
F-test in matched field processing: identifying multimode propagation
Author :
Mecklenbräuker, C.F. ; Maiwald, D. ; Böhme, J.F.
Author_Institution :
Dept. of Electr. Eng., Ruhr-Univ., Bochum, Germany
Volume :
5
fYear :
1995
fDate :
9-12 May 1995
Firstpage :
3123
Abstract :
Addresses the simultaneous detection and classification of signal arrivals, as well as the estimation of source parameters of signals impinging on an array of sensors. The authors develop a procedure for short-time stationary broadband signal propagation in a shallow ocean. The procedure is applied to sensor data obtained from a towed horizontal receiver array in the Baltic Sea for interpreting the impinging signals. The authors apply a multiple test procedure to three propagation models: a Green´s function model, uncorrelated normal modes and plane waves. They apply an F-test which calculates signal to noise ratios for the three models, and select the model with highest SNR. Thereby, they are able to classify previous phantom bearing estimations as uncorrelated normal mode propagation originating from the towing ship itself
Keywords :
Green´s function methods; acoustic signal detection; acoustic wave propagation; direction-of-arrival estimation; interference (signal); pattern classification; underwater sound; Baltic Sea; F-test; Green´s function model; classification; detection; matched field processing; multimode propagation; phantom bearing estimations; plane waves; propagation models; shallow ocean; short-time stationary broadband signal propagation; signal arrivals; signal to noise ratios; source parameters; towed horizontal receiver array; towing ship; uncorrelated normal modes; Acoustic propagation; Imaging phantoms; Marine vehicles; Oceans; Sensor arrays; Sensor phenomena and characterization; Signal processing; Signal to noise ratio; Sonar; Testing;
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.1995.479546
Filename :
479546
Link To Document :
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