DocumentCode
2452573
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
fYear
2007
fDate
9-12 July 2007
Firstpage
1
Lastpage
8
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICIF.2007.4408204
Filename
4408204
Link To Document