Direction finding with fewer receivers via time-varying preprocessing

Author

Sheinvald, Jacob ; Wax, Mati

Author_Institution

RAFAEL, Haifa, Israel

Volume

47

Issue

1

fYear

1999

fDate

1/1/1999 12:00:00 AM

Firstpage

2

Lastpage

9

Abstract

We present a new technique for localizing multiple narrowband sources by a passive sensor array based on dimensionality-reducing time-varying preprocessing of the sensor outputs. The technique allows a significant reduction in the number of receivers required for the implementation with only two receivers sufficing in the extreme case. The estimation method we use is based on approximating the corresponding maximum likelihood estimator by a computationally simpler generalized least squares (GLS) estimator that is proved to be both consistent and asymptotically efficient. Simulation results confirming the theoretical results are included

Keywords

array signal processing; direction-of-arrival estimation; least squares approximations; maximum likelihood estimation; radio direction-finding; radio receivers; DOA; RF applications; asymptotically efficient estimator; direction finding; generalized least squares estimator; maximum likelihood estimator; multiple narrowband sources localization; passive sensor array; receivers; sensor outputs; simulation results; time-varying preprocessing; Data preprocessing; Jacobian matrices; Least squares approximation; Maximum likelihood detection; Maximum likelihood estimation; Narrowband; Radio frequency; Receiving antennas; Sampling methods; Sensor arrays;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.738234

Filename

738234