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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
 
 
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