Adaptive spatial domain forward-backward predictors for bearing estimation

Author

Lee, Won C. ; Park, Sang T. ; Cha, Il W. ; Youn, Dae H.

Author_Institution

Dept. of Electron. Eng., Polytech. Univ., New York, NY, USA

Volume

38

Issue

7

fYear

1990

fDate

7/1/1990 12:00:00 AM

Firstpage

1105

Lastpage

1109

Abstract

Adaptive algorithms are proposed for computing the coefficients of spatial domain predictors. The method presented uses the least-mean-squares approach to compute the coefficients of the predictors realized by using the tapped-delay-line and the escalator structures. The predictors presented differ from the conventional ones in that the relevant weights are updated such that the sum of the mean-squared values of the forward and the backward prediction errors is minimized. Using the coefficients of such spatial domain predictors yields improved linear predictive spatial spectrums. The algorithms are applied to the problem of estimating incident angles of multiple narrowband signals received by a linear array of sensors. Simulation results demonstrating the performances of the proposed methods are presented

Keywords

filtering and prediction theory; least squares approximations; signal processing; spectral analysis; adaptive algorithms; array processing; bearing estimation; direction of arrival estimation; escalator structures; forward-backward predictors; incident angles estimation; least-mean-squares approach; linear array of sensors; multiple narrowband signals; spatial domain predictors; tapped-delay-line; Adaptive algorithm; Direction of arrival estimation; Error correction; Frequency estimation; Geophysics computing; Least squares approximation; Narrowband; Prediction methods; Sensor arrays; Sonar;

fLanguage

English

Journal_Title

Acoustics, Speech and Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

0096-3518

Type

jour

DOI

10.1109/29.57539

Filename

57539