Harmonic and inter-harmonic estimation using esprit associated with filter bank

Santos, Elaine Alves dos; Duque, Carlos A.; Cerqueira, A. S.

doi:10.1109/ichqp.2018.8378822

Cited by 4 publications

(2 citation statements)

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“…Filter bank ESPRIT (FB-ESPRIT) is a methodology to apply ESPRITs individually to the spread spectrum of the signal sub-bands [37]. It initially applies a filter bank to the signal and transfers it to the equally-spaced sub-bands, then each sub-band signal spectrum is spread by downsampling, and the conventional ESPRIT is applied to each spread spectrum sub-band individually.…”

Section: Filter Bank Espritmentioning

confidence: 99%

“…Furthermore, it demands a high computational effort. The work in [37] overcame its complexity by the association of ESPRIT with a filter bank (FB-ESPRIT). This manuscript demonstrates that the association of the filter bank not only mitigates the complexity of ESPRIT, but also results in higher efficiency in the parameters' estimation of a signal contaminated by different types of colored noise (pink, red, blue, and violet).…”

Section: Introductionmentioning

confidence: 99%

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High Accuracy Power Quality Evaluation under a Colored Noisy Condition by Filter Bank ESPRIT

et al. 2019

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Due to the highly increasing integration of renewable energy sources with the power grid and their fluctuations, besides the recent growth of new power electronics equipment, the noise in power systems has become colored. The colored noise affects the methodologies for power quality parameters’ estimation, such as harmonic and interharmonic components. Estimation of signal parameters via rotational invariance techniques (ESPRIT) as a parametric technique with high resolution has proven its efficiency in the estimation of power signal components’ frequencies, amplitudes, and phases for quality analysis, under the assumption of white Gaussian noise. Since ESPRIT suffers from high computational effort, filter bank ESPRIT (FB-ESPRIT) was suggested for mitigation of the complexity. This manuscript suggests FB-ESPRIT as well for accurate and robust estimation of power signal components’ parameters in the presence of the colored noise. Even though the parametric techniques depend on the Gaussianity of contaminating noise to perform properly, FB-ESPRIT performs well in colored noise. The FB-ESPRIT superiority compared with the conventional ESPRIT and MUSIC techniques was demonstrated through many simulations runs on synthetic power signals with multiple harmonics, interharmonics, and subharmonic components in the presence of noises of different colors and different SNR levels. FB-ESPRIT had a significant efficiency superiority in power quality analysis with a wide gap distance from the other estimators, especially under the high level of colored noise.

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Section: Filter Bank Espritmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%