Multisource delay estimation: nonstationary signals [underwater acoustics]

Author

Lourtie, Isabel M G ; Moura, José M F

Author_Institution

CAPS, Complexo, Inst. Superior Tecnico, Lisboa, Portugal

Volume

39

Issue

5

fYear

1991

fDate

5/1/1991 12:00:00 AM

Firstpage

1033

Lastpage

1048

Abstract

The authors study delay estimation in a very general framework: multiple sources, correlated noises, nonstationary random signals, and varying delays. The optimal maximum likelihood (ML) delay estimator is derived; its performance via the Cramer-Rao inequality is analyzed; and it is tested by experimentation with synthetic data. The present time-varying delay estimator extends to the nonstationary/multisource environment the estimators of L.C. Ng and Y. Bar-Shalom (1986), L.R. Kirlin and L.A. Dewey (1985), and C.H. Knapp and G.C. Carter (1976). However, the present receiver significantly departs from the correlator structures of those authors

Keywords

acoustic signal processing; parameter estimation; time-domain analysis; underwater sound; Cramer-Rao inequality; correlated noises; multiple sources; multisource delay estimation; nonstationary random signals; nonstationary signals; optimal maximum likelihood delay estimator; receiver; time domain techniques; underwater acoustics; varying delays; Bandwidth; Correlators; Delay effects; Delay estimation; Filters; Fourier transforms; Maximum likelihood estimation; Niobium; Sensor arrays; Underwater acoustics;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.80961

Filename

80961