Title :
Combined point-mass and particle filter for target tracking
Author :
Orguner, Umut ; Skoglar, Per ; Törnqvist, David ; Gustafsson, Fredrik
Author_Institution :
Dept. of Electr. Eng., Linkoping Univ., Linkoping, Sweden
Abstract :
This paper presents a combined Point Mass Filter (PMF) and Particle Filter (PF), which utilizes the support of the PMF and the high particle density in the PF close to the current estimate. The result is a filter robust to unexpected process events but still with low error covariance. This filter is especially useful for target tracking applications, where target maneuvers suddenly can change unpredictably.
Keywords :
mass spectrometer accessories; particle filtering (numerical methods); target tracking; error covariance; particle density; particle filter; point mass filter; target tracking; Automatic control; Linear approximation; Particle filters; Robustness; State-space methods; Target tracking;
Conference_Titel :
Aerospace Conference, 2010 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
978-1-4244-3887-7
DOI :
10.1109/AERO.2010.5446678
