西安电子科技大学学报（自然科学版）2019，Vol.46Issue(1)：166-173,8.DOI:10.19665/j.issn1001-2400.2019.01.026
煤矿井下区间分段视距节点合作定位算法
Algorithm for cooperational localization of the sectional interval and LOS node in a coal mine
摘要
Abstract
To overcome the problem of serious signal fluctuation and Non-line-of-sight signal attenuation with long distance positioning in a coal mine,a segmentation node cooperative localization algorithm is proposed.By using the learning vector quantization clustering to segment the long distance transmission interval,the threshold is used to select the range for an unknown node.We think of the unknown node that has been located as the virtual reference node of other unknown nodes,so that all node information can communicate with each other.In the idea of node screening,the multi-path effects are overcome and line-ofsight nodes are searched by channel state information.The reference nodes in the long range are replaced by the optimally located line-of-sight nodes in the close range.Results show that compared with the traditional unsegmented and unfinished line-of-sight path nodes,the positioning error is only 1.5mand the accuracy improvement rate is 85％.关键词
分段/学习向量量化/聚类/视距路径/信道状态信息/节点合作Key words
segmentation/learning vector quantization/clustering/line-of-sight path/channel state information/node cooperation分类
矿业与冶金引用本文复制引用
赵彤,李先圣,张雷,丁恩杰,胡延军..煤矿井下区间分段视距节点合作定位算法[J].西安电子科技大学学报（自然科学版）,2019,46(1):166-173,8.基金项目
国家重点研发计划(2017YFC0804401) （2017YFC0804401）
