Counteracting Packet Loss in Fingerprint-Based Indoor Positioning via Spatially Regularized Entropy and Ground-Truth Prior Variational Inference

Indoor positioning system (IPS) enables real-time tracking and positioning within indoor environments and supports various location-based services (LBSs) across different application settings. The growth of the Internet of Things (IoT) has enabled fingerprint-based IPS to achieve sub-meter or centim...

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Veröffentlicht in:	IEEE sensors journal 2024-05, Vol.24 (9), p.15651-15664
Hauptverfasser:	Lyu, Zhongyuan, Chan, Tom T. L., Leung, Gary C. M., Lun, Daniel P. K., Pecht, Michael G.
Format:	Artikel
Sprache:	eng
Schlagworte:	BLE 51 Data models Fingerprint recognition Fingerprints Indoor environments indoor positioning Internet of Things IP networks Location based services Packet loss Real time Reliability Sensors Spatial data spatial regularization Statistical analysis Statistical inference Training variational autoencoder (VAE)
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