DocumentCode
899753
Title
Computational analysis of rotational search methods for adaptive Pisarenko harmonic retrieval
Author
DeBrunner, Victor
Author_Institution
Sch. of Electr. Eng., Oklahoma Univ., Norman, OK, USA
Volume
41
Issue
5
fYear
1993
fDate
5/1/1993 12:00:00 AM
Firstpage
1974
Lastpage
1979
Abstract
The rotational search method (RSM), which reduces the computational burden of the Pisarenko method for identifying undamped sinusoids in additive noise, is discussed. A brief review of previous adaptive algorithms for implementing the method is presented. Two simulations are presented which show the inherent sensitivity of the RSM algorithm. The sensitivity is shown to depend upon the Rayleigh-Ritz eigenvector estimate and the value of the minimum eigenvalue estimate. The errors in their tracking result in a loss of search direction orthogonality to the estimated minimum eigenvector. A higher precision for the enforced search direction orthogonality which minimizes the added computation is proposed, resulting in the altered RSM (ARSM)
Keywords
adaptive filters; eigenvalues and eigenfunctions; filtering and prediction theory; harmonic analysis; search problems; spectral analysis; RSM algorithm; Rayleigh-Ritz eigenvector estimate; adaptive Pisarenko harmonic retrieval; computational analysis; minimum eigenvalue estimate; rotational search methods; search direction orthogonality; sensitivity; spectral estimation; undamped sinusoids; Adaptive filters; Adaptive signal processing; Algorithm design and analysis; Convergence; Finite impulse response filter; Harmonic analysis; Least squares approximation; Search methods; Signal processing algorithms; Speech processing;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.215319
Filename
215319
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