Title
Distributed Fusion with Multi-Bernoulli Filter based on Generalized Covariance Intersection.
Abstract
In this paper, we propose a distributed multiobject tracking algorithm through the use of multi-Bernoulli (MB) filter based on generalized covariance intersection (G-CI). Our analyses show that the G-CI fusion with two MB posterior distributions does not admit an accurate closed-form expression. To solve this problem, we first approximate the fused posterior as the unlabeled version of δ-generaliz...
Year
DOI
Venue
2016
10.1109/TSP.2016.2617825
IEEE Transactions on Signal Processing
Keywords
Field
DocType
Radar tracking,Target tracking,Approximation algorithms,Signal processing algorithms,Closed-form solutions,Radio frequency,Correlation
Sensor node,Approximation algorithm,Mathematical optimization,Radar tracker,Control theory,Particle filter,Covariance intersection,Fusion,Posterior probability,Mathematics,Bernoulli's principle
Journal
Volume
Issue
ISSN
65
1
1053-587X
Citations 
PageRank 
References 
5
0.41
19
Authors
6
Name
Order
Citations
PageRank
bailu wang1373.92
Wei Yi225236.97
Reza Hoseinnezhad343143.15
suqi li4373.92
Lingjiang Kong534638.93
Xiaobo Yang611820.61