Title of article :
Genetic algorithms based robust frequency estimation of sinusoidal signals with stationary errors
Author/Authors :
Mitra، نويسنده , , Amit K. Kundu، نويسنده , , Debasis، نويسنده ,
Pages :
10
From page :
321
To page :
330
Abstract :
In this paper, we consider the fundamental problem of frequency estimation of multiple sinusoidal signals with stationary errors. We propose genetic algorithm and outlier-insensitive criterion function based technique for the frequency estimation problem. In the simulation studies and real life data analysis, it is observed that the proposed genetic algorithm based robust frequency estimators are able to resolve frequencies of the sinusoidal model with high degree of accuracy. Among the proposed methods, the genetic algorithm based least squares estimator, in the no-outlier scenario, provides efficient estimates, in the sense that their mean square errors attain the corresponding Cramér-Rao lower bounds. In the presence of outliers, the proposed robust methods perform quite well and seem to have a fairly high breakdown point with respect to level of outlier contamination. The proposed methods significantly do not depend on the initial guess values required for other iterative frequency estimation methods.
Keywords :
L1-norm estimator , Genetic algorithms , Least median estimator , Least square estimator , Least trimmed estimator , Multiple sinusoidal model , Outlier-insensitive criterion
Journal title :
Astroparticle Physics
Record number :
2046704
Link To Document :
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