Tracking a maneuvering reentry vehicles (MaRV) by processing radar measurements has attracted much attention of researchers. Compared with the traditional extended Kalman filter, the recently developed filtering algorithm called unscented Kalman filter are significant with its easy to tune, better accuracy and same order computational complexity. For the nine-dimension system in this paper a reduced points UKF combined reduced sigma points unscented transform (UT) with classical Kalman filter is presented to lessen computation burden. Simulation results show its effectiveness.
Target tracking for maneuvering reentry vehicles with reduced sigma points unscented Kalman filter
01.01.2006
2407685 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Tracking of Spiraling Reentry Vehicles with Varying Frequency Using the Unscented Kalman Filter
British Library Conference Proceedings | 2010
|Adaptively robust unscented kalman filter for tracking a maneuvering vehicle
Online Contents | 2014
|