DocumentCode
1352832
Title
Comments on “Iterative Estimation of Sinusoidal Signal Parameters”
Author
Babu, Prabhu ; Stoica, Petre
Author_Institution
Dept. of Inf. Technol., Uppsala Univ., Uppsala, Sweden
Volume
17
Issue
12
fYear
2010
Firstpage
1022
Lastpage
1023
Abstract
In this note, we show that the iterative frequency estimation technique proposed in is nothing but an approximate Gauss-Newton (GN) algorithm for minimizing the standard nonlinear least squares fitting criterion. Starting from the complex sinusoidal data model used in , we derive the GN algorithm for frequency estimation and show that by approximating some steps in the GN algorithm we arrive at the estimator proposed in . We then numerically compare the performances of GN and approximate GN algorithms with that of zero padded FFT.
Keywords
frequency estimation; iterative methods; least squares approximations; Gauss-Newton algorithm; iterative frequency estimation technique; nonlinear least squares fitting criterion; sinusoidal signal parameters; Approximation algorithms; Convergence; Frequency estimation; Least squares approximation; Minimization; FFT; Gauss–Newton (GN) algorithm; zero-padding;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2010.2082526
Filename
5604272
Link To Document