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
Link To Document :
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