Title : 
Comments on “Iterative Estimation of Sinusoidal Signal Parameters”
         
        
            Author : 
Babu, Prabhu ; Stoica, Petre
         
        
            Author_Institution : 
Dept. of Inf. Technol., Uppsala Univ., Uppsala, Sweden
         
        
        
        
        
        
        
            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;
         
        
        
            Journal_Title : 
Signal Processing Letters, IEEE
         
        
        
        
        
            DOI : 
10.1109/LSP.2010.2082526