A multi-sensor data fusion algorithm based on consistency preprocessing and adaptive weighting

In the data collection of a multi-sensor system, there are problems with large errors, conflicts, and redundancy. To solve the above problem, a multi-sensor data fusion algorithm based on anomaly data preprocessing and adaptive weighted estimation is proposed. To improve the reliability of the algor...

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Veröffentlicht in:	Automatika Jg. 65; H. 1; S. 82 - 91
Hauptverfasser:	Du, Shengxue, Chen, Shujun
Format:	Journal Article Paper
Sprache:	Englisch
Veröffentlicht:	Ljubljana Taylor & Francis Ltd 02.01.2024 KoREMA - Hrvatsko društvo za komunikacije,računarstvo, elektroniku, mjerenja i automatiku Taylor & Francis Group
Schlagworte:	adaptive weighting Algorithms Consistency consistency preprocess Data collection data fusion Data integration Errors INDEX TERMS: Multi-sensor system Multi-sensor system Multisensor fusion off-centre distance Preprocessing Redundancy Sensors Weighting methods
ISSN:	0005-1144, 1848-3380
Online-Zugang:	Volltext
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