3D Maximum Likelihood Estimation Positioning Algorithm Based on RSSI Ranging

摘要：

　　Based on the analysis of 3D maximum likelihood estimation positioning algorithm,RSSI ranging error directly affects the overall positioning accuracy of the algorithm,so weighted maximum likelihood estimation positioning algorithm is put forward.It is inversely proportional to the square of distance and positioning accuracy of the algorithm through theoretical derivation,thus diagonal weight matrix of the distances inverse square is introduced to traditional maximum likelihood estimation algorithm.The experimental results show that with the same error range,the weight matrixs positioning algorithm reduces positioning error by 0.45-1.87 m and improves the precision of positioning.

关键词： Wireless Sensor Networks(WSN) received signal strength indication 3D Maximum Likelihood Estimation Positioning Algorithm weighted value

作者: Rui Qiang Wei Wang Haiying Wang Peilun He Wenyong Huang

作者单位: College of Sciences,Xian University of Science and Technology,Xian Shaanxi,China CRRC Yong Ji Electric CO.,LTD.Yongji,Shanxi,China Telecom Integrated Platform Development and Operation Center,Guangzhou Guangdong,China

会议类型: 国际会议

会议名称: 2017 IEEE 2nd Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2017)(2017 IEEE 第2届先进信息技术、电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 1311-1314

在线出版日期: 2017-03-25（万方平台首次上网日期，不代表论文的发表时间）