A Method for Predicting Inertial Navigation System Positioning Errors Using a Back Propagation Neural Network Based on a Particle Swarm Optimization Algorithm

In order to reduce the position errors of the Global Positioning System/Strapdown Inertial Navigation System (GPS/SINS) integrated navigation system during GPS denial, this paper proposes a method based on the Particle Swarm Optimization–Back Propagation Neural Network (PSO-BPNN) to replace the GPS...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 24; H. 12; S. 3722
Hauptverfasser:	Wang, Yabo, Jiao, Ruihan, Wei, Tingxiao, Guo, Zhaoxing, Ben, Yueyang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 07.06.2024 MDPI
Schlagworte:	Accuracy Algorithms Artificial intelligence backpropagation neural network Fuzzy logic GPS denial GPS/SINS integrated navigation system Kalman filters Navigation systems Neural networks Optimization particle swarm optimization Propagation Velocity GPS/SINS integrated navigation system backpropagation neural network particle swarm optimization GPS denial
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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