Title :
Tracking filters using kinematic measurements
Author :
Besada, Juan A. ; De Miguel, Gonzalo ; Soto, Andres ; Herrero, JesÙs García
Author_Institution :
Univ. Polytech. de Madrid, Madrid
Abstract :
This paper describes two tracking filters based on the use of kinematic information (velocity, acceleration), in addition to usual position measurements. This kinematic information allows for more advanced filtering methods, reducing error especially on maneuvers. In the paper we will show two different Kalman filter exploiting this information, and compare them with regards to accuracy, computational load ... Mode S Enhanced Surveillance measures will be used as an example for the application of those filters.
Keywords :
Kalman filters; filtering theory; tracking filters; Kalman filter; error reduction; filtering methods; kinematic measurements; mode S enhanced surveillance measures; position measurements; tracking filters; Acceleration; Accelerometers; Aircraft; Data processing; Information filtering; Information filters; Kinematics; Position measurement; Predictive models; Velocity measurement; Extended Kalman filter; Kalman filtering; Tracking;
Conference_Titel :
Information Fusion, 2007 10th International Conference on
Conference_Location :
Quebec, Que.
Print_ISBN :
978-0-662-45804-3
Electronic_ISBN :
978-0-662-45804-3
DOI :
10.1109/ICIF.2007.4408204
