Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
This paper considers the problem of continuous-time online frequency estimation for a biased damped sinusoidal signal. The previous result for a sinusoidal signal with time-varying amplitude requires a persistency of excitation condition for regressor, which is not satisfied in the considered case. To relax this condition, we propose to use Dynamic Regressor Extension and Mixing method on the first step to replace nth-order regression with n first-order regression models. On the second step, two simple relaxation methods are proposed to establish necessary excitation for the first-order gradient-based estimator. The efficiency of the proposed approach is demonstrated through the set of numerical simulations for the exponentially damped sinusoidal signal.
Язык оригинала | английский |
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Страницы (с-по) | 1857-1867 |
Число страниц | 11 |
Журнал | International Journal of Adaptive Control and Signal Processing |
Том | 33 |
Номер выпуска | 12 |
DOI | |
Состояние | Опубликовано - 1 дек 2019 |
ID: 76547876