Generalized adaptive notch filters (GANFs) are used for identification/tracking of quasi-periodically varying dynamic systems and can be considered an extension, to the system case, of classical adaptive notch filters. The paper presents results of local performance analysis of a real-valued GANF algorithm, i.e., algorithm designed to track parameters of a real-valued system. This is an extension of the previous work which focused on complexvalued systems. Tracking properties of the algorithm are studied analytically using an approximating linear filter technique and an averaging approach. Even though restricted to a single frequency case, the presented analysis provides interesting insights into the tracking mechanisms of GANF and allows one to formulate some useful rules of thumb for choosing design parameters.
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1109/tsp.2006.890863
- Category
- Publikacja w czasopiśmie
- Type
- artykuł w czasopiśmie z listy filadelfijskiej
- Language
- angielski
- Publication year
- 2007
