Hierarchical Fusion Estimation With Feedback for Clustered Sensor Networks Subject to Leader and Subordinate Sensors

In this paper, hierarchical fusion estimation with feedback is researched in clustered sensor networks with leader and subordinate sensors. A local estimator is designed to obtain local estimates using feedback fusion estimates in each sensor. A two-layer fusion estimator is developed to achieve fus...

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Bibliographic Details
Published inIEEE transactions on circuits and systems. II, Express briefs p. 1
Main Authors Cao, Xinyue, Zhao, Ling, Xia, Yuanqing, Yang, Hongjiu
Format Journal Article
LanguageEnglish
Published IEEE 2025
Subjects
Accuracy
clustered sensor networks
Covariance matrices
Estimation
Estimation error
feedback
Fusion estimation
hierarchical fusion
Linear systems
Noise
Noise measurement
Symmetric matrices
Target tracking
Training
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Summary:In this paper, hierarchical fusion estimation with feedback is researched in clustered sensor networks with leader and subordinate sensors. A local estimator is designed to obtain local estimates using feedback fusion estimates in each sensor. A two-layer fusion estimator is developed to achieve fusion estimates for improving estimation accuracy in each leader sensor. The first layer fusion estimator is proposed combining local estimates within the same cluster based on both current and past local estimation accuracy under inaccurate noise covariance matrices. The second layer fusion estimator is designed by fusing the first layer fusion estimates from all leader sensors. Validity of the hierarchical fusion estimation with feedback is shown based on a maneuvering target tracking system.
ISSN:1549-7747
1558-3791
DOI:10.1109/TCSII.2025.3598216