Semiconductor Optoelectronics, Volume. 45, Issue 2, 313(2024)
Pedestrian Indoor Height Estimation Algorithm Based on Micro Pressure Sensors
[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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Received: Dec. 27, 2023
Accepted: --
Published Online: Aug. 14, 2024
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