Robust particle filter for accurate WiFi-based indoor positioning in the presence of outlier-corrupted sensor data

This study presents a comprehensive evaluation of an outlier-robust particle filter (RPF) designed to improve indoor positioning accuracy in complex environments with substantial measurement noise and outliers. The RPF’s performance is benchmarked against a standard Particle Filter (PF) using both s...

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Bibliographic Details
Main Authors: Mohamed Aizad Bin Mohamed Ghazali, Aroland Kiring, Lyudmila Mihaylova, Hoe Tung Yew, Seng Kheau Chung, Farrah Wong Hock Tze
Format: Article
Language:en
Published: The Science and Information (SAI) Organization Limited 2025
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Online Access:https://eprints.ums.edu.my/id/eprint/45574/1/FULLTEXT.pdf
https://eprints.ums.edu.my/id/eprint/45574/
https://dx.doi.org/10.14569/IJACSA.2025.0160787
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