A maximum-likelihood parametric approach to source localizations

Author

Chen, Joe C. ; Hudson, Ralph E. ; Yao, Kung

Author_Institution

Electr. Eng. Dept., Univ. of California, Los Angeles, CA, USA

Volume

5

fYear

2001

fDate

2001

Firstpage

3013

Abstract

Source localization using passive sensor arrays has been an active research problem for many years. Most near-field source localization algorithms involve two separate estimations, namely, relative time-delay estimations and source location estimation. A one-step maximum-likelihood parametric source localization algorithm is proposed based on the maximum correlation between time shifted sensor data at the true source location. The performance of the algorithm is evaluated and shown to approach the Cramer-Rao bound asymptotically in simulations

Keywords

array signal processing; correlation methods; maximum likelihood estimation; array signal processing; maximum-likelihood parametric approach; passive sensor arrays; relative time-delay estimations; source localizations; Acoustic sensors; Delay estimation; Electronic warfare; Geophysics; Infrared sensors; Maximum likelihood estimation; Position measurement; Sensor arrays; Underwater acoustics; Underwater tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.940284

Filename

940284