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Gong-kuang zidonghua
Article . 2013
Data sources: DOAJ
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Application of Kalman filter in underground personnel tracking and positioning

Authors: LUO Yu-feng; LIU Yong; LI Fang;

Application of Kalman filter in underground personnel tracking and positioning

Abstract

In view of problem that RSSI location algorithm does not have continuity in positioning process, the paper proposed an underground personnel positioning method with continuity based on Kalman filter. The method adopts Kalman filter to filter processing position coordinates of underground personnel estimated by RSSI location algorithm, and established a Kalman filter model on the basis of this coordinate in order to real-timely track underground personnel. The experimental results show that the positioning method based on Kalman filter has accurate tracking effect, and can improve real-time performance and tracking accuracy of underground personnel tracking and positioning system.

Keywords

real-time tracking, Mining engineering. Metallurgy, rssi location algorithm, coal mine underground, TN1-997, personnel positioning, kalman filter location

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold