Paper Info
Title
An Efficient Algorithm for Mutiple Direction of Arrival Tracking Based on the Constrained Projection Approximation Approach and Kalman Filter
Abstract
In this paper, we present a direction of arrival (DOA) tracking scheme involving a subspace tracking algorithm and a Kalman filter. The proposed subspace tracking algorithm is based on an interpretation of the signal subspace as the solution of a minimization of a constrained projection approximation task. We show that we can apply the matrix inversion lemma to solve this problem recursively. The proposed algorithm avoids the orthonormalization process after each update for post-processing algorithms which need orthonormal basis of the signal subspace. The DOA's are obtained via a Newton-type method initialized with the DOA's predicted by the Kalman filter. The tracking capability of the proposed algorithm is verified by computer simulations in a scenario involving targets with crossing trajectories.
Year
DOI
Venue
2007
10.1109/ICASSP.2007.366429
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference
Keywords
Field
DocType
Kalman filters,Newton method,covariance matrices,direction-of-arrival estimation,matrix inversion,target tracking,DOA tracking scheme,Kalman filter,Newton-type method,constrained projection approximation approach,matrix inversion,multiple direction of arrival tracking,subspace tracking algorithm,Kalman filter,direction of arrival (DOA),subspace tracking
Mathematical optimization,Subspace topology,Computer science,Direction of arrival,Algorithm,Kalman filter,Orthonormal basis,Minification,Woodbury matrix identity,Signal subspace,Newton's method
Conference
Volume
ISSN
ISBN
2
1520-6149
1-4244-0727-3
Citations 
PageRank 
References 
0
0.34
4
Authors
3
Name
Order
Citations
PageRank
Amir Valizadeh1123.38
Mahmood Karimi27113.51
Omid Oliaei37520.09