Distributed GM-CPHD Filter Based on Generalized Inverse Covariance Intersection

Distributed GM-CPHD Filter Based on Generalized Inverse Covariance Intersection

In this paper, we propose a distributed Gaussian mixture cardinalized probability hypothesis density (GM-CPHD) filter based on generalized inverse covariance intersection that fuses multiple node information effectively for multi-target tracking applications. Covariance intersection (CI) is a well-k...

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Bibliographic Details
Main Authors: Woo Jung Park, Chan Gook Park
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Multi-target tracking
GM-CPHD filter
inverse covariance intersection
covariance inflation
Online Access:https://ieeexplore.ieee.org/document/9468680/

Internet

https://ieeexplore.ieee.org/document/9468680/

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