Adaptive cardinality balanced multi-target multi-Bernoulli filter based on cubature Kalman

Adaptive cardinality balanced multi-target multi-Bernoulli filter based on cubature Kalman

The sequential Monte Carlo cardinality balanced multi-Bernoulli (SMC-CBMeMBer) filter provides a good framework to cope with the multi-target tracking problem. However, the standard SMC-CBMeMBer filter suffers from the particles’ degradation problem seriously. Using the measurements to construct the...

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Bibliographic Details
Main Authors: Haihuan Wang, Xiaoyong Lyu, Long Ma
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:The Journal of Engineering
Subjects:
kalman filters
filtering theory
monte carlo methods
target tracking
adaptive cardinality balanced multitarget multibernoulli filter
cardinality overestimation
particles degradation problem
poor-quality particles
cubature kalman filter
predicted particle
target number
standard smc-cbmember filter suffers
multitarget tracking problem
sequential monte carlo cardinality balanced multibernoulli filter
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0670

Internet

https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0670

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