Distributed Information-Weighted Consensus Filter for Extended Object Tracking With Nonlinear Measurements

This article deals with the distributed extended object tracking with nonlinear noisy measurements. Therein, we use the orientation and semiaxes as individual parameters to model the spatial extent. To alleviate nonlinearity in the measurement function, we utilize the moment-matched approach in the...

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Veröffentlicht in:	IEEE transactions on aerospace and electronic systems Jg. 61; H. 2; S. 2719 - 2733
Hauptverfasser:	Li, Zhifei, Liu, Chunsheng, Jin, Yong, Zhou, Lin, Liu, Shun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Aerospace and electronic systems Distributed consensus estimation Error analysis extended object tracking (EOT) Information filters Kinematics Matrix converters Measurement uncertainty Noise measurement nonlinear function Nonlinearity Object tracking Parameter estimation Radar tracking sensor networks Shape Tracking Weight measurement
ISSN:	0018-9251, 1557-9603
Online-Zugang:	Volltext
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