An efficient PASTd-algorithm implementation for multiple direction of arrival tracking

Author

Sanchez-Araujo, Javier ; Marcos, Sylvie

Author_Institution

Lab. des Signaux et Syst., CNRS, Gif-sur-Yvette, France

Volume

47

Issue

8

fYear

1999

fDate

8/1/1999 12:00:00 AM

Firstpage

2321

Lastpage

2324

Abstract

We propose a simple direction-of-arrival (DOA) tracking scheme involving the projection approximation subspace tracking with deflation (PASTd)-algorithm and a Kalman filter. The DOAs are obtained via a Newton-type method initialized with the DOAs predicted by the Kalman filter. The data association is then avoided. The tracking capability of the proposed algorithm is demonstrated by computer simulations in scenarios involving targets with crossing trajectories

Keywords

Kalman filters; Newton method; adaptive estimation; array signal processing; direction-of-arrival estimation; filtering theory; target tracking; tracking filters; DOA tracking; Kalman filter; Newton-type method; adaptive subspace estimator; computer simulations; crossing trajectories; deflation; efficient PASTd-algorithm implementation; multiple direction of arrival tracking; projection approximation subspace tracking algorithm; target tracking; uniform linear sensor array; Approximation algorithms; Computer simulation; Direction of arrival estimation; Least squares approximation; Least squares methods; Maximum likelihood estimation; Military computing; Sensor arrays; Target tracking; Trajectory;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.774778

Filename

774778