Title :
An asymptotic maximum likelihood estimator for source parameters in a multipath environment
Author :
Nehorai, Arye ; Li, Shaolin
Author_Institution :
Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
Abstract :
A method is presented for underwater acoustic source parameter estimation when many multipaths exist. The method is based on an asymptotic maximum likelihood (ML) estimator in the frequency domain and an acoustic image model for the ocean. Cramer-Rao bounds are calculated and compared with Monte Carlo simulation results
Keywords :
acoustic signal processing; acoustic wave propagation; oceanography; parameter estimation; underwater sound; Cramer-Rao bounds; Monte Carlo simulation; acoustic image model; acoustic signal processing; acoustics; asymptotic maximum likelihood estimator; frequency domain; multipath environment; multipath propagation; ocean; parameter estimation; underwater acoustic source; underwater sound; Acoustic propagation; Delay estimation; Frequency domain analysis; Frequency estimation; Maximum likelihood estimation; Oceans; Parameter estimation; Sea surface; Sensor arrays; Underwater acoustics;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
DOI :
10.1109/ICASSP.1988.197186