Semiconductor Optoelectronics, Volume. 45, Issue 2, 313(2024)

Pedestrian Indoor Height Estimation Algorithm Based on Micro Pressure Sensors

YU Hao1,2, CHEN Yanping1,2, ZOU Mengqiang1,2, PENG Hui1,2, LIU Yu1,2, WANG Sen1,2, and JIANG Yongqing3
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  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(5)

    [3] [3] Wen S, Ge Z, Yuan D, et al. Enhanced pedestrian navigation on smartphones with VLP-assisted PDR integration[J]. IEEE Sens. J., 2023, 23(14): 15952-15962.

    [5] [5] Cao H J, Wang Y J, Bi J X. Smartphones:3D indoor location using WiFi RTT[J]. IEEE Commun. Lett., 2021, 25(4):1201-1205.

    [6] [6] Lv Y Y, Liu W J, Wang Z, et al. WSN location technology based on hybrid GA-PSO-BP algorithm for indoor threedimensional space[J]. Wireless Pers. Commun., 2020, 114(1): 167-184.

    [11] [11] Dong Y, Arslan T. Real-time NLOS/LOS identification for smartphone-based indoor positioning system using WiFi RTT and RSS[J]. IEEE Sens. J., 2021, 22(6): 5199-5209.

    [12] [12] Xu Y, Cao J, Sshmaliy Y, et al. Distributed Kalman filter for UWB/INS integrated pedestrian localization under colored measurement noise[J]. Satell. Navig., 2021(1): 2.

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    YU Hao, CHEN Yanping, ZOU Mengqiang, PENG Hui, LIU Yu, WANG Sen, JIANG Yongqing. Pedestrian Indoor Height Estimation Algorithm Based on Micro Pressure Sensors[J]. Semiconductor Optoelectronics, 2024, 45(2): 313

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    Paper Information

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    Received: Dec. 27, 2023

    Accepted: --

    Published Online: Aug. 14, 2024

    The Author Email:

    DOI:10.16818/j.issn1001-5868.2023122701

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