Title :
Passive sonar ML estimator for ship propeller speed
Author_Institution :
Dept. of Electr. & Electron. Eng., Stellenbosch Univ., South Africa
Abstract :
The optimal estimator in the maximum likelihood sense for 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 are presented
Keywords :
cavitation; maximum likelihood estimation; ships; sonar signal processing; underwater sound; maximum likelihood estimation; optimal estimator; passive sonar; propeller blades; ship propeller speed; underwater radiated cavitation noise; Amplitude modulation; Blades; Frequency estimation; Gaussian noise; Marine vehicles; Maximum likelihood estimation; Noise generators; Noise shaping; Propellers; Sonar;
Conference_Titel :
Communications and Signal Processing, 1997. COMSIG '97., Proceedings of the 1997 South African Symposium on
Conference_Location :
Grahamstown
Print_ISBN :
0-7803-4173-2
DOI :
10.1109/COMSIG.1997.629973
