DocumentCode :
1438632
Title :
Passive sonar ML estimator for ship propeller speed
Author :
Lourens, Johan G. ; du Prcez, J.A.
Author_Institution :
Dept. of Electr. & Electron. Eng., Stellenbosch Univ., South Africa
Volume :
23
Issue :
4
fYear :
1998
fDate :
10/1/1998 12:00:00 AM
Firstpage :
448
Lastpage :
453
Abstract :
The optimal estimator in the maximum-likelihood sense fur the propeller speed of a ship, using underwater radiated cavitation noise generated by the propeller blades, is derived. From the result the number of blades on the propeller can also be derived. Results obtained for real sonar data using a digital implementation of the estimator will be presented
Keywords :
maximum likelihood estimation; ships; sonar target recognition; underwater sound; digital implementation; maximum-likelihood estimator; passive sonar ML estimator; propeller blades; ship propeller speed; underwater radiated cavitation noise; Amplitude modulation; Blades; Gaussian noise; Marine vehicles; Maximum likelihood estimation; Noise generators; Noise shaping; Propellers; Rhythm; Sonar;
fLanguage :
English
Journal_Title :
Oceanic Engineering, IEEE Journal of
Publisher :
ieee
ISSN :
0364-9059
Type :
jour
DOI :
10.1109/48.725238
Filename :
725238
Link To Document :
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