Constrained Multi-Sensor Control Using a Multi-Target MSE Bound and a δ-GLMB Filter

Constrained Multi-Sensor Control Using a Multi-Target MSE Bound and a δ-GLMB Filter

The existing multi-sensor control algorithms for multi-target tracking (MTT) within the random finite set (RFS) framework are all based on the distributed processing architecture, so the rule of generalized covariance intersection (GCI) has to be used to obtain the multi-sensor posterior density. Ho...

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Bibliographic Details
Main Authors: Feng Lian, Liming Hou, Jing Liu, Chongzhao Han
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Sensors
Subjects:
multi-sensor control
labeled random finite set
multi-target tracking
error bounds
Bayesian estimation
Online Access:http://www.mdpi.com/1424-8220/18/7/2308

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