DocumentCode :
1419534
Title :
Fast recursive subspace adaptive ESPRIT algorithms
Author :
Strobach, Peter
Author_Institution :
Fachlochschule Fortwangen, Rohrnbach, Germany
Volume :
46
Issue :
9
fYear :
1998
fDate :
9/1/1998 12:00:00 AM
Firstpage :
2413
Lastpage :
2430
Abstract :
A class of fast recursive ESPRIT algorithms for adaptive (on-line) source localization based on subspace tracking and adaptive rank reduction is introduced. These adaptive ESPRIT algorithms can be used for on-line tracking of r maneuvering sources in space using the output of an N-element sensor array, where N>2r. The fastest of our algorithms requires only O(Nr)+O(r3) complex arithmetic operations to update the estimated directions-of-arrival (DOAs) at each time instant. These highly efficient algorithms are more than only a concatenation of a subspace tracker and a conventional batch ESPRIT algorithm. A special QR-reduction to standard form is the key to the fast recursive algorithms. Detailed computer experiments substantiate the theoretical results
Keywords :
adaptive signal processing; array signal processing; computational complexity; direction-of-arrival estimation; eigenvalues and eigenfunctions; matrix algebra; recursive estimation; tracking; DOA estimation; QR-reduction; adaptive rank reduction; adaptive source localization; complex arithmetic operations; computer experiments; directions-of-arrival; efficient algorithms; eigenvalues; fast recursive ESPRIT algorithms; maneuvering sources; matrix; on-line source localization; sensor array; subspace tracker; subspace tracking; Adaptive algorithm; Adaptive arrays; Arithmetic; Eigenvalues and eigenfunctions; Least squares methods; Narrowband; Sensor arrays; Signal processing algorithms; Smoothing methods; Standards development;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.709531
Filename :
709531
Link To Document :
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