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All Journal International Journal of Informatics, Information System and Computer Engineering (INJIISCOM)
Tianyuan Gu
Nanjing University of Information Science and Technology
Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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A Research on Positioning Algorithm Based on RPCA in Sparse Fingerprint Environment Yaqin Xie; Md Emadur Rahman Ekra; Tianyuan Gu; Xiaoli Wang
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 6 No. 2 (2025): INJIISCOM: VOLUME 6, ISSUE 2, DECEMBER 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v6i2.14980

Abstract

Wi-Fi fingerprinting for indoor positioning is cost-effective but struggles with environmental noise and requires extensive data collection for high accuracy. To address these challenges in sparse fingerprint environments, this paper proposes a positioning technique using a Robust Principal Component Analysis (RPCA) algorithm. First, gathered signals are purified using measurement weights to mitigate outlier noise, saving the refined fingerprints in a database. Second, to reduce collection costs, virtual fingerprints are generated near reference points using a transmission loss model and stored offline. Finally, adaptive K-value fingerprint matching is applied to estimate the user's location. Results demonstrate that the proposed RPCA-based algorithm significantly improves positioning accuracy in sparse indoor environments. 
Co-Authors Md Emadur Rahman Ekra Xiaoli Wang Yaqin Xie