Frequency adjustment method for the improvement of amplitude estimation in the parametric spectral analysis

Paper proposes an approach for improving the complex amplitude parameter estimation in the standard parametric spectral analysis methods. This approach allows to adjust the estimated complex normalized frequency values slightly aiming to improve the estimation of the amplitudes. The method was tested for a mono-frequency signal and for a signal with 4 harmonic frequency components. The test signal length was justified by testing the additive noise for attaining the appropriate probabilistic characteristics. It was shown that proposed method can improve the estimation quality via the Prony's method drastically, letting it exceed the quality of the matrix pencil method in some cases.

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Publication Details

Journal
Mathematical Modeling and Computing
Published
2025-01-01
DOI
https://doi.org/10.23939/mmc2025.02.581
Primary Topic
Structural Health Monitoring Techniques
Type
article
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article

Frequency adjustment method for the improvement of amplitude estimation in the parametric spectral analysis

O. O. Drobakhin, O. V. Olevskyi
Mathematical Modeling and Computing
Structural Health Monitoring Techniques
article

Frequency adjustment method for the improvement of amplitude estimation in the parametric spectral analysis

O. O. Drobakhin, O. V. Olevskyi
article en

Abstract

Paper proposes an approach for improving the complex amplitude parameter estimation in the standard parametric spectral analysis methods. This approach allows to adjust the estimated complex normalized frequency values slightly aiming to improve the estimation of the amplitudes. The method was tested for a mono-frequency signal and for a signal with 4 harmonic frequency components. The test signal length was justified by testing the additive noise for attaining the appropriate probabilistic characteristics. It was shown that proposed method can improve the estimation quality via the Prony's method drastically, letting it exceed the quality of the matrix pencil method in some cases.

Mathematical Modeling and ComputingVol. 12(2)
Openalex Percentile: Top 84%
Structural Health Monitoring Techniques
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