Accurate Frequency Estimation of Electrical Waveforms Affected by Harmonics and Interharmonics

Belega, Daniel; Petri, Dario

doi:10.1109/melecon53508.2022.9842877

Cited by 4 publications

(2 citation statements)

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“…The use of parametric methods requires a good signal model [8] and the uncertainty of the evaluation is typically reduced iteratively, which costs a lot of computing time. The nonparametric methods use the DFT to transform the sampled real signal into frequency space [9], [10], [11], [12], [13], where a basic image of the signal by components is obtained. The application of DFT involves two steps, namely, coarse search and fine search [14].…”

Section: Introductionmentioning

confidence: 99%

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An Improvement of the Nonparametric Frequency Estimation Below Two Signal Periods Using Two Windows

Begeš,

Agrež,

Hudoklin

2024

IEEE Trans. Instrum. Meas.

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This article presents a method for improving the nonparametric frequency estimation of the fundamental periodicity of a multifrequency signal when a smaller number of periods are covered-up to two periods in the measurement time. The estimation procedure uses the weights of two Rife-Vincent I (RV1) windows on the same set of acquired signal samples and then uses a combination of two consecutive discrete Fourier transform (DFT) amplitude coefficients in the quotient. To reduce the harmonic influence, the technique of near-coherent frequency evaluation is used, and to reduce the interharmonic influence, a method can be added, where the rest of the signal is averaged after determining the periodic part of the signal. The simulation and experimental results obtained show a very good compromise between fast and accurate estimation.

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Section: Introductionmentioning

confidence: 99%

“…In the shortened measurement interval with the relative frequency below θ 1 ≤ 2, the only comparable nonparametric algorithms are the well-known interpolated two-point and three-point DFT approaches. For two-point DFT interpolation (IDFT-2p), the rectangular or better the Hann window [12], [20] is used…”

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confidence: 99%