Title :
State dependent mode transition probabilities
Author :
Michaelis, Martin ; Govaers, Felix ; Koch, W.
Author_Institution :
Fraunhofer FKIE, Wachtberg, Germany
Abstract :
A multiple model filter similar to the IMM filter is developed for tracking of maneuvering targets. The mode transition probabilities are modeled as dependent on the state. This allows using information about the mode of a target that is contained in the state. Thus, better estimates of the mode can be obtained. Convergence of the mode estimates occurs more quickly. As an application, choosing acceleration dependent mode transitions in a scenario using constant velocity motion and coordinated turn motion is discussed.
Keywords :
filtering theory; probability; target tracking; IMM filter; acceleration dependent mode transitions; constant velocity motion; coordinated turn motion; maneuvering target tracking; multiple model filter; state dependent mode transition probabilities; Acceleration; Approximation methods; Atmospheric modeling; Convergence; Dynamics; Estimation error; Target tracking;
Conference_Titel :
Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2013 Workshop on
Conference_Location :
Bonn
Print_ISBN :
978-1-4799-0777-9
DOI :
10.1109/SDF.2013.6698262