<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>To improve the parameter estimation performance of damped real-value sinusoid in noise, a novel algorithm with high accuracy and computational efficiency is proposed that combines the characteristics of good anti-interference, small computation of frequency-domain methods, and high parameter estimation accuracy of time-domain methods. First, the Discrete Fourier Transform (DFT) algorithm and the two-point spectrum interpolation algorithm of the frequency-domain methods are used to improve the noise immunity. Then, the linear prediction property and the enhancement filter of the time-domain methods are used to improve the parameter estimation accuracy. In addition, the parameter estimation performance of the proposed algorithm is verified by computational complexity analysis and test experiments, and the practical application effectiveness of the proposed algorithm is demonstrated on the Coriolis Mass Flowmeter (CMF) experimental platform. The experimental results show that the proposed algorithm effectively improves the real-time performance and the parameter estimation accuracy is better than that of the existing excellent algorithms.</p>
</abstract>

To improve the parameter estimation performance of damped real-value sinusoid in noise, a novel algorithm with high accuracy and computational efficiency is proposed that combines the characteristics of good anti-interference, small computation of frequency-domain methods, and high parameter estimation accuracy of time-domain methods. First, the Discrete Fourier Transform (DFT) algorithm and the two-point spectrum interpolation algorithm of the frequency-domain methods are used to improve the noise immunity. Then, the linear prediction property and the enhancement filter of the time-domain methods are used to improve the parameter estimation accuracy. In addition, the parameter estimation performance of the proposed algorithm is verified by computational complexity analysis and test experiments, and the practical application effectiveness of the proposed algorithm is demonstrated on the Coriolis Mass Flowmeter (CMF) experimental platform. The experimental results show that the proposed algorithm effectively improves the real-time performance and the parameter estimation accuracy is better than that of the existing excellent algorithms.

A Parameter Estimation Algorithm for Damped Real-value Sinusoid in Noise

Measurement Science Review

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"A Parameter Estimation Algorithm for Damped Real-value Sinusoid in Noise"}

To improve the parameter estimation performance of damped real-value sinusoid in noise, a novel algorithm with high accuracy and computational efficiency is...

A Parameter Estimation Algorithm for Damped Real-value Sinusoid in Noise

Publié en ligne: 16 juil. 2023

Pages: 99 - 105

Reçu: 21 oct. 2022

Accepté: 18 avr. 2023

DOI: https://doi.org/10.2478/msr-2023-0013

Mots clés
Parameter estimation, spectrum interpolation, linear prediction, damped real-value sinusoid

© 2023 Peng Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

A Parameter Estimation Algorithm for Damped Real-value Sinusoid in Noise

Publié en ligne: 16 juil. 2023

Pages: 99 - 105

Reçu: 21 oct. 2022

Accepté: 18 avr. 2023

DOI: https://doi.org/10.2478/msr-2023-0013

Mots clésParameter estimation, spectrum interpolation, linear prediction, damped real-value sinusoid

© 2023 Peng Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
Parameter estimation, spectrum interpolation, linear prediction, damped real-value sinusoid