Personnel Fingerprint Positioning Algorithm Based on SVM Classification in Underground Coal Mine
LYU Wen-hong
YANG Tao
DONG Xiao-liang
ZHENG Xiao-xia
ZOU Hui
LIANG Quan-quan
Abstract：In order to reduce influence of underground environment on the positioning system,this paper presented a fingerprint positioning algorithm based on SVM classification.The algorithm consists of fingerprint database,underground tunnel fingerprint data acquisition and underground location matching.The SVM classification method was adopted to establish the fingerprint database,the singular value was re-moved to eliminate the effects of dynamic fingerprints,the best match position was found by matching the real-time sampling signal to the fingerprint database.This paper collected 50 samples by randomly fingerprint data as position information,muti-terminal user position infor-mation was measured and five user terminals measurement data were taken for analysis.The results of location experiments showed that the positioning error of proposed algorithm was less than 1.5 m,which was much better than traditional positioning algorithm based on RSSI.
Keywords：person positioningunderground mineRSSI positioning algorithmfingerprint positioning algorithm
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 73-76 )