煤矿安全2017，Vol.48Issue(6)：108-111,4.DOI:10.13347/j.cnki.mkaq.2017.06.029
煤矿井下基于RSSI的多维标度定位算法
Multidimensional Scaling Positioning Algorithm Based on RSSI in Underground Coal Mine
摘要
Abstract
The coal mine environment is complex and changing,radio channel is easily affected by non-line of sight,multipath fading,and human factors,so location error of RSSI-based fingcrprint positioning technology is large;we proposed a multidimensional scaling positioning algorithm based on RSSI.In this paper,we construct the dissimilarity matrix according to the ranging of coal mine signal propagation model;MDS method is used to calculate the relative coordinates of the nodes.According to the planar four parameters model,we can calculate real coordinates of the mobile nodes;the particle swarm optimization is used to optimize the position coordinates of the nodes.This method can realize the moving target location in the coal mines in real time.Experiments show that,after optimization,the positioning accuracy of node is improved obviously.It meets the needs of low cost in the positioning system.关键词
井下定位/RSSI/无线传感器网络/多维标度法/粒子群算法Key words
underground positioning/received signal strength indication (RSSI)/wireless sensor networks (WSNs)/multidimensional scaling (MDS)/particle swarm optimization (PSO)分类
矿业与冶金引用本文复制引用
崔丽珍,王子琤,吴迪,高丽丽..煤矿井下基于RSSI的多维标度定位算法[J].煤矿安全,2017,48(6):108-111,4.基金项目
内蒙古自然科学基金资助项目(2015MS0623) （2015MS0623）
内蒙古自治区科技计划资助项目(201502013-1) （201502013-1）
