Autor:	Sedat Camlica
Rok vydání:	2014
Předmět:	Least mean squares filter Pulse repetition frequency Recursive least squares filter Radar tracker Finite impulse response Control theory Computer science Kalman filter Tracking (particle physics)
Zdroj:	SIU
Popis:	Pulse Repetition Interval tracking methods generally depend on the knowlegde of the PRI(Pulse Repetition Interval) type. In this work, adaptive FIR (Finite Inpulse Response) fitler based PRI trackers are developed which do not reqiure PRI type. Least Mean Squares (LMS) and Recursive Least Squares filter (RLS) based trackers are proposed. Solutions of some the practical problems of the PRI tracking are considered and performances of the filters are compared with simulations.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::44a39967015655b73f1e55e64d9bd852 https://doi.org/10.1109/siu.2014.6830372 Zobrazit plný text záznamu