Fast and Accurate Frequency Estimation Using Sliding DFT
For signal processing applications requiring real-time frequency estimation, this method offers a more accurate and stable alternative to existing estimators.
The paper presents a frequency estimator for complex exponentials using the Sliding DFT, achieving better accuracy than Jacobsen's and Candan's estimators with improved computational efficiency and stability.
Frequency Estimation of a complex exponential is a problem relevant to a large number of fields. In this paper a computationally efficient and accurate frequency estimator is presented using the guaranteed stable Sliding DFT which gives stability as well as computational efficiency. The estimator approaches Jacobsen's estimator and Candan's estimator for large N with an extra correction term multiplied to it for the stabilization of the sliding DFT. Simulation results show that the performance of the proposed estimator were found to be better than Jacobsen's estimator and Candan's estimator.