Course Information

Course Name	Turkish	Durum Modelleri, Kalman Filtering ve yumuşatma
	English	State Mod.Kalman Filt.&Smooth.
Course Code	GEO 616E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	-	3	-	-
Course Language		English
Course Coordinator		Esra Erten Esra Erten
Course Objectives		To teach students; 1.Use of Kalman Filtering with satellite based positioning systems 2.Mathematical models of Kalman Filtering 3.Engineering applications of Kalman Filtering
Course Description		Introduction, dynamic modeling, advantages and limitations. Models of geodetic measurement processes and empirical model identification. Linear or non-linear dynamic systems, transition matrix, observability and controllability, error propagation. Examples from kinematic positioning. Discrete optimal prediction, linear filtering and smoothing. Kalman filter, UD factorization, SRIF algorithm. Selected topics in nonlinear estimation. The extended & adaptive Kalman filter.
Course Outcomes		i) State models and modeling ii) Positioning iii) Dynamic systems iv) Observability and controllability v) Optimal prediction, linear filtering and smoothing vi) Kalman filter and various algorithms
Pre-requisite(s)
Required Facilities
Other
Textbook		Kalman Filtering Theory and Practice Using Matlab
Other References