传感技术学报Issue(3)：388-393,6.DOI:10.3969/j.issn.1004-1699.2014.03.022
一种改进的煤矿井下指纹定位匹配算法
An Improved Location Fingerprint Localization Matching Algorithm in Coal Mine
摘要
Abstract
The environment of coal mine is very complicated,which requires great accuracy of personnel positioning. Currently,in the mine roadway,the location of the fingerprint localization algorithm based on RSSI( Received Signal Strength Indication) has some deficiencies, such as targeting drift, jitter, and low positioning accuracy. This paper proposes a modified matching localization algorithm. This algorithm combines K nearest neighbor algorithm with the shortest historical path matching and uses speed-limited location estimation compensation algorithm to correct the positioning accuracy. Based on the authentic-measured data from the coal mine tunnel, this article verifies and analyses the error for the improved matching algorithm. The simulation results show that the improved matching algorithm can improve positioning accuracy and meet the requirements of mine personnel positioning, target tracking,and target trajectory querying.关键词
无线传感器网络/RSSI/指纹定位/矿井巷道/匹配算法Key words
wireless sensor networks/RSSI/location fingerprint/mine tunnels/matching algorithm分类
信息技术与安全科学引用本文复制引用
李论,丁恩杰,郝丽娜,张雷..一种改进的煤矿井下指纹定位匹配算法[J].传感技术学报,2014,(3):388-393,6.基金项目
国家科技支撑计划资助项目(2012BAH12B01,2012BAH12B02) （2012BAH12B01,2012BAH12B02）
国家高技术研究发展计划(863)资助项目(2013AA06A411) （863）
