| Autor: |
E. S. Kagan, Marina A. Novoseltseva, Svetlana G. Gutova |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon). |
| DOI: |
10.1109/fareastcon50210.2020.9271542 |
| Popis: |
Discretization of continuous time signals is an important topic. The paper investigates the effect of discretization step on the accuracy of multisinusoidal signals modeling. Most existing approaches that study this issue emphasize the impossibility of one-to-one recovery of continuous time signals from their digitized values without additional prior information. However, the paper offers an approach that allows linking together the method of structural and parametric identification of multisinusoidal signals based on the theory of continued fractions and establishing a one-to-one correspondence between the continuous and discrete signal models. The latter is achieved by using the properties of the z-transform and allows to establish the varuety of discretization step selection when identifying the signal. The condition of the structural-parametric identifiability of multisinusoidal signals allows, by means of the selection of the main band of the s-plane, to cover the poles of the continuous transfer function of the identifier object, thereby determining the structure and parameters of the signal. A consistent use of structural and parametric identification of multisinusoidal signals based on the original discrete measurement versions and use of signal values decimation is proposed. Finally, the efficiency of the method proposed in the paper is exemplified with a specific case of multisinusoidal signal computer simulation. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
