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The IEEE 802.11 working group has introduced the protocol with Fine Time Measurement (FTM) as a new standard component, which provides accurate round-trip time (RTT) measurement between devices over Wi-Fi, thus the Wi-Fi wireless network can be used for positioning. The reliability of FTM RTT measurement has a direct impact on the positioning results. In this study, continuous measurements in the field reveal that the distribution of FTM RTT measurements in the presence of occlusion is characteristically uncertain, with a tendency for the distribution to be concentrated in a particular area and accompanied by a large number of discrete values. In order to improve the reliability of FTM RTT measurements, this study uses the SegRNN model to clean and filter the sampled sequences to improve the quality of the test sequences and the linear correction module to further improve the positioning accuracy. Finally, a positioning accuracy of 2–6 m is achieved in indoor areas with complex environment.

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Sequence Cleaning of Wi-Fi Round-Trip Time Measurement for Indoor Positioning Using SegRNN

  • 会议论文

  • 发表日期：

    2025年

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  • Chengzhi Liu,
  • Zimeng Wang,
  • Yantao Jia

摘要

The IEEE 802.11 working group has introduced the protocol with Fine Time Measurement (FTM) as a new standard component, which provides accurate round-trip time (RTT) measurement between devices over Wi-Fi, thus the Wi-Fi wireless network can be used for positioning. The reliability of FTM RTT measurement has a direct impact on the positioning results. In this study, continuous measurements in the field reveal that the distribution of FTM RTT measurements in the presence of occlusion is characteristically uncertain, with a tendency for the distribution to be concentrated in a particular area and accompanied by a large number of discrete values. In order to improve the reliability of FTM RTT measurements, this study uses the SegRNN model to clean and filter the sampled sequences to improve the quality of the test sequences and the linear correction module to further improve the positioning accuracy. Finally, a positioning accuracy of 2–6 m is achieved in indoor areas with complex environment.