Title :
Ground tracking using a variable structure multiple model particle filter with varying number of particles
Author :
Kravaritis, George ; Mulgrew, Bernard
Author_Institution :
Inst. for Digital Commun., Edinburgh Univ., UK
Abstract :
This paper studies the problem of ground tracking using a-priori information about the road structure. It presents an efficient variation of the variable structure multiple model particle filter, in which the number of active particles is allowed to vary. The proposed technique decreases the algorithmic computational intensity and can be generalized and used in various multi-model particle filters.
Keywords :
filtering theory; matrix algebra; radar detection; radar tracking; a-priori information; ground tracking; particle filter; variable structure multiple model; Azimuth; Bayesian methods; Buildings; Particle filters; Particle tracking; Position measurement; Radar detection; Radar tracking; Roads; Target tracking;
Conference_Titel :
Radar Conference, 2005 IEEE International
Print_ISBN :
0-7803-8881-X
DOI :
10.1109/RADAR.2005.1435943