Underground personnel positioning system based on fingerprint and dead-reckoning

MA Jing; HU Qingsong; SONG Boming; ZHANG Shen

doi:10.13272/j.issn.1671-251x.2016.05.005

Volume 42 Issue 5

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MA Jing, HU Qingsong, SONG Boming, et al. Underground personnel positioning system based on fingerprint and dead-reckoning[J]. Industry and Mine Automation, 2016, 42(5): 19-23. doi: 10.13272/j.issn.1671-251x.2016.05.005

Citation:

MA Jing, HU Qingsong, SONG Boming, et al. Underground personnel positioning system based on fingerprint and dead-reckoning[J]. Industry and Mine Automation, 2016, 42(5): 19-23. doi: 10.13272/j.issn.1671-251x.2016.05.005

Citation:

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Underground personnel positioning system based on fingerprint and dead-reckoning

doi: 10.13272/j.issn.1671-251x.2016.05.005

MA Jing^{1, 2},
HU Qingsong^{2, 3},
SONG Boming^{1, 2},
ZHANG Shen^{2, 3}

1.
School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China
2.
IoT Perception Mine Research Center, China University of Mining and Technology, X

Publish Date: 2016-05-10

Abstract

Abstract

In view of problem that RSSI-based fingerprint positioning method is greatly influenced by environment of coal mine tunnel, and localization method based on dead-reckoning is easy to form accumulation of errors, underground personnel positioning system based on fingerprint and dead-reckoning was designed. The system periodically collects location and attitude information, uses KNN and peak detection method to solve result of fingerprint and dead-reckoning, and the target position was obtained by weighted fusion of the two positioning results. The test results demonstrate that the system can obviously improve positioning accuracy and stability, and has strong adaptability to the complex environment of coal mine tunnel.
- underground personnel positioning,
- fingerprint,
- dead-reckoning,
- fusion algorithm