Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5006758 | Measurement | 2017 | 9 Pages |
Abstract
A non-recursive version of Nonlinear Least Squares Fitting for frequency estimation is presented. This problem yields a closed-form solution exploiting a Taylor's series expansion. Respecting some conditions, the computational complexity is reduced, but equally the method assures that the accuracy reaches the Cramer-Rao Bound. The proposed method requires a frequency pre-estimate. A series of simulations has been made to determine how accurate the pre-estimate should be in order to ensure the achievement of the Cramer-Rao Bound in various conditions for different periodic signals. The execution time of the proposed algorithm is smaller compared to a single iteration cycle of the standard approach. The proposed method is useful in applications that require a high accuracy fitting of periodic signals, especially when limited computational resources are available or a real-time evaluation is needed.
Related Topics
Physical Sciences and Engineering
Engineering
Control and Systems Engineering
Authors
S. Giarnetti, F. Leccese, M. Caciotta,