Title :
Couple-sensor CBMeMBer filter
Author :
Luo, S.H. ; Xu, Hao ; Xu, Yan
Author_Institution :
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
The cardinality balanced multi-target multi-Bernoulli (CBMeMBer) filter shows excellent performance compared with the probability hypothesis density (PHD) and cardinality PHD (CPHD) filters. However, the algorithm addressed only single-sensor scenarios. To resolve the problem of multisensor multi-target tracking with the CBMeMBer filter, an ad hoc approach is proposed. Simulation results verify the proposed solution.
Keywords :
filtering theory; probability; sensor fusion; target tracking; CPHD filters; cardinality PHD filters; cardinality balanced multitarget multiBernoulli filter; couple-sensor CBMeMBer filter; multisensor multitarget tracking; probability hypothesis density; single-sensor scenarios;
Journal_Title :
Electronics Letters
DOI :
10.1049/el.2012.0730
