Title :
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
fDate :
8/1/1999 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
