The authors propose in this paper a frequency-based least squares algorithm applied to the estimation of multifrequency signal parameters. It is based on the processing of the joint information carried by nearby frequency components of Fourier-transformed data. Theoretical and simulated analyses are carried out on the algorithm accuracy, while its performance is compared to the corresponding Cramer-Rao lower bounds.
Frequency-domain based Least-squares Estimation of Multifrequency Signal Parameters
Petri, Dario
1999-01-01
Abstract
The authors propose in this paper a frequency-based least squares algorithm applied to the estimation of multifrequency signal parameters. It is based on the processing of the joint information carried by nearby frequency components of Fourier-transformed data. Theoretical and simulated analyses are carried out on the algorithm accuracy, while its performance is compared to the corresponding Cramer-Rao lower bounds.File in questo prodotto:
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