基于RSSI的矿井移动目标加权质心定位算法  

RSSI-based Weighted Centroid Localization Algorithm for Moving Targets in Mines

作　　者：亿吉 张楠 YI Ji;ZHANG Nan(College of Coal Engineering,Shanxi Datong University,Datong 037003,China;College of Mechanical and Electrical Engineering,Shanxi Datong University,Datong 037009,China)

机构地区：[1]山西大同大学煤炭工程学院,山西大同037003 [2]山西大同大学机电工程学院,山西大同037009

出　　处：《山西煤炭》2022年第3期102-108,共7页Shanxi Coal

基　　金：2021年大同市科技应用基础研究项目(2021173);山西大同大学2022年研究生教育创新项目(22CX54)。

摘　　要：基于接收信号强度(RSSI)定位技术,通过优化质心定位算法和权值因子来提高煤矿井下移动目标的定位精度。该方法将接收到的RSSI值进行高斯混合滤波,利用最大期望算法(EM算法)对数据进行聚类分析,然后根据赤池信息量准则(AIC)选取AIC值最小的分布模型作为算法计算模型,最后将加权质心算法引入幂值求得定位坐标;用CC2530传感器节点作为通信节点进行实验验证。实验证明,优化后的加权质心算法的定位误差较小。Based on the received signal strength(RSSI) positioning technology,the centroid positioning algorithm and weight factor are optimized to improve the positioning accuracy of moving targets in coal mines.The method performs Gaussian mixture filtering on the RSSI values,uses the maximum expectation algorithm(EM algorithm) to do cluster analysis on the data,and selects the distribution model with the smallest AIC value as the algorithm calculation model according to the Akaike Information Criterion(AIC).Finally,the weighted centroid algorithm is introduced into the power value to obtain the positioning coordinates.The CC2530 sensor nodes,as the communication nodes,are used in the experimental verification,which shows that the optimized weighted centroid algorithm has less positioning error.

关 键 词：矿井移动目标定位 RSSI测距 加权质心算法 权值修正 定位精度 

分 类 号：TD67[矿业工程—矿山机电] O441.4[理学—电磁学]