DocumentCode
1304674
Title
Study of the statistical performance of the Pisarenko harmonic decomposition method
Author
Stoica, Petre ; Nehorai, Arye
Author_Institution
Dept. of Autom. Control, Polytech. Inst. of Bucharest, Romania
Volume
135
Issue
2
fYear
1988
fDate
4/1/1988 12:00:00 AM
Firstpage
161
Lastpage
168
Abstract
A self-contained statistical analysis of the Pisarenko method for estimating sinusoidal frequencies from signal measurements corrupted by white noise is presented. An explicit formula is provided for the asymptotic covariance matrix of the joint estimation errors of the minimum eigenvalue and the minimum eigenfilter coefficients of the data covariance matrix. A numerical study of the performance of the Pisarenko method, and a comparison with the performance achieved by the Yule-Walker method are also reported.
Keywords
eigenvalues and eigenfunctions; signal processing; statistical analysis; white noise; Pisarenko harmonic decomposition; Yule-Walker method; asymptotic covariance matrix; data covariance matrix; eigenfilter coefficients; eigenvalue; joint estimation errors; signal measurements; sinusoidal frequency estimation; statistical analysis; white noise;
fLanguage
English
Journal_Title
Radar and Signal Processing, IEE Proceedings F
Publisher
iet
ISSN
0956-375X
Type
jour
Filename
6573
Link To Document