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Research on Indoor Positioning Based on Fusion of WI-FI/PDR

Published: 28 April 2018 Publication History

Abstract

Due to variance problems of the Received Signal Strength Indicator (RSSI), the Wi-Fi fingerprinting (WF) positioning has great volatility. Although several calibration algorithms have been proposed, the effect is unsatisfied. In this paper, we presented a new algorithm which combines WF and Precision Depth Recorder (PDR) based on Unscented Kalman Filter (UKF) to optimize the positioning results. Moreover, an adaptive-step-length-estimation (ASLE) algorithm, which can gain good performance while tracking the pedestrians, was designed to reduce the cumulative error of PDR positioning system. Experiments show that all error distances are less than 4.46m, of which 79% are within 2m. The combination of WF and PDR leads to a more stable indoor positioning over the long term.

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Cited By

View all
  • (2023)Enhancing Indoor Positioning Accuracy: A Comprehensive Study on Euclidean Distance, Trilateration, Wi-Fi RTT and FTM Protocol IntegrationProceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems10.1145/3638209.3638235(173-180)Online publication date: 25-Nov-2023
  • (2023)Factor Graph Framework for Smartphone Indoor Localization: Integrating Data-Driven PDR and Wi-Fi RTT/RSS RangingIEEE Sensors Journal10.1109/JSEN.2023.326712123:11(12346-12354)Online publication date: 1-Jun-2023
  • (2022)UWB Positioning Algorithm Based on Fuzzy Inference and Adaptive Anti-NLOS Kalman FilteringApplied Sciences10.3390/app1212618312:12(6183)Online publication date: 17-Jun-2022

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    cover image ACM Other conferences
    ICMSSP '18: Proceedings of the 3rd International Conference on Multimedia Systems and Signal Processing
    April 2018
    168 pages
    ISBN:9781450364577
    DOI:10.1145/3220162
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 28 April 2018

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    Author Tags

    1. Indoor Positioning
    2. Precision Depth Recorder
    3. Unscented Kalman Filter
    4. Wi-Fi Fingerprinting Positioning

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    View all
    • (2023)Enhancing Indoor Positioning Accuracy: A Comprehensive Study on Euclidean Distance, Trilateration, Wi-Fi RTT and FTM Protocol IntegrationProceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems10.1145/3638209.3638235(173-180)Online publication date: 25-Nov-2023
    • (2023)Factor Graph Framework for Smartphone Indoor Localization: Integrating Data-Driven PDR and Wi-Fi RTT/RSS RangingIEEE Sensors Journal10.1109/JSEN.2023.326712123:11(12346-12354)Online publication date: 1-Jun-2023
    • (2022)UWB Positioning Algorithm Based on Fuzzy Inference and Adaptive Anti-NLOS Kalman FilteringApplied Sciences10.3390/app1212618312:12(6183)Online publication date: 17-Jun-2022
    • (2020)Improved indoor positioning based on range-free RSSI fingerprint methodJournal of Geodetic Science10.1515/jogs-2020-000410:1(23-28)Online publication date: 4-May-2020

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