The frequency shifting and filtering (FSF) algorithm, a variant of DFT, has the merit of high efficiency for frequency analysis thanks to its simple implementation in the time domain. However, the inevitable white noise injected by various factors leads to inaccurate frequency estimation in practical measurement. This paper investigates the influence of a stationary white noise on FSF-based frequency estimation of the power system. The variance expression of the frequency estimator is derived theoretically and compared to its unbiased Cramer-Rao Lower Bound (CRLB). The obtained results are validated by several computer simulations.

Analysis of White Noise on Power Frequency Estimation by DFT-based Frequency Shifting and Filtering Algorithm

Mingotti, Alessandro;Peretto, Lorenzo;
2020

Abstract

The frequency shifting and filtering (FSF) algorithm, a variant of DFT, has the merit of high efficiency for frequency analysis thanks to its simple implementation in the time domain. However, the inevitable white noise injected by various factors leads to inaccurate frequency estimation in practical measurement. This paper investigates the influence of a stationary white noise on FSF-based frequency estimation of the power system. The variance expression of the frequency estimator is derived theoretically and compared to its unbiased Cramer-Rao Lower Bound (CRLB). The obtained results are validated by several computer simulations.
2020
Zhang, Junhao; Tang, Lu; Mingotti, Alessandro; Peretto, Lorenzo; Wen, He
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/723308
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