Improving Accuracy of the Alpha–Beta Filter Algorithm Using an ANN-Based Learning Mechanism in Indoor Navigation System

The navigation system has been around for the last several years. Recently, the emergence of miniaturized sensors has made it easy to navigate the object in an indoor environment. These sensors give away a great deal of information about the user (location, posture, communication patterns, etc.), wh...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 19; H. 18; S. 3946
Hauptverfasser:	Jamil, Faisal, Kim, Do Hyeun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 12.09.2019 MDPI
Schlagworte:	Accelerometers Accuracy Algorithms alpha–beta filter artificial neural network Global positioning systems GPS indoor navigation system inertial measurement unit International conferences Kalman filters Localization Magnetic fields motion trackina Navigation systems Noise Segregation Sensors Velocity United States > US
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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