摘要
针对室内视距(LOS)和非视距(NLOS)混合环境下的定位精度不高的问题,提出基于信号强度测距的最小均方误差定位(Strength Ranging-based Minimum Mean Square Error localization,SRMSL)算法。SRMSL算法先建立基于超宽带(ultra wide band,UWB)的测距模型,并分别构建在LOS和NLOS环境下的最小均方误差函数,再估计未知节点位置。利用中值函数滤除异常的抽样值,有效辨识NLOS环境下的测距信息。仿真和实验结果表明,提出的SRMSL算法在定位精度方面优于M估计和最小中值平方估计。
For low Localization accuracy in the mixed environment of line-of-sight and Non-line-of-sight,signal strength ranging-based minimum mean square error localization(SRMSL)algorithm is proposed in this paper. SRMSL algorithm firstly establishes the ranging model based on UWB,and constructs the minimum mean square error function in LOS and NLOS environments respectively. Then location of nodes is estimated. The median function is used to filter out the abnormal sampling values,and the ranging information in NLOS environment can be identified effectively. Simulation and experimental results show that the proposed SRMSL algorithm outperforms M estimation and minimum median square estimation in term of positioning accuracy.
作者
钱建新
汪味路
杨学明
武江瑞
徐会彬
成新民
张永
QIAN Jianxin;WANG Weilu;YANG Xueming;WU Jiangrui;XU Huibin;CHENG Xinmin;ZHANG Yong(Huzhou Special Equipment Inspection Research Institute,Huzhou 313000;College of Information and Engineering,Huzhou University,Huzhou 313000)
出处
《计算机与数字工程》
2022年第8期1702-1706,1712,共6页
Computer & Digital Engineering
基金
浙江省市场监督管理局科研计划项目“基于数据融合的压力管道定位及三维显示系统的研制”(编号:20200330)
2021年浙江省软科学研究计划项目“共享经济模式下网约车乘客安全保护问题的对策研究”(编号:2021C35129)
国家自然科学基金项目(编号:61772252)资助。
关键词
无线传感网络
室内定位
信号强度
非视距
最小均方误差
wireless sensor network
indoor localization
signal strength
non-line-of-sight
minimum mean square error
