| Citation: | ZHANG Chendong, WANG Zhaorui, JIN Shengzhen, et al. High-precision positioning method based on SINS/RFID for trains in tunnel[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(4): 632-638. doi: 10.13700/j.bh.1001-5965.2020.0647(in Chinese)
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based on strapdown inertial navigation system (SINS) and radio frequency identification (RFID), an integrated positioning method is proposed for the position acquisition of high-speed trains in satellite-denied environment such as tunnels. The positioning accuracy of RFID tags is calculated by the response time model. The tags could also calibrate the attitude by adding actual railway information. Setting RFID tags on tunnel wall and at the same time combining with inertial navigation system provide continuous dynamic positioning data. Simulation results show that utilizing RFID tags in position calibration significantly decreases the error accumulation of inertial navigation system and increases positioning accuracy in 30 km tunnel. After the addition of attitude information, the positioning accuracy of the whole tunnel railway maintains at the level of meters in a variety of combinations of gyroscope performance and RFID tag interval, the best of which is 0.5 m.
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ZHANG Chendong, WANG Zhaorui, JIN Shengzhen, et al. High-precision positioning method based on SINS/RFID for trains in tunnel[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(4): 632-638. doi: 10.13700/j.bh.1001-5965.2020.0647(in Chinese)
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