摘要
针对目前定位方法功耗、精度等问题的局限,提出了一种窄带物联网定位算法。通过云计算来避免终端设备复杂度和功耗的矛盾;在RSSI测距模型的基础上利用窄带物联网大连接广覆盖的特性,在参考终端的支持下,使用优选策略选择相关环境参数以使得测距结果更为准确。在使用最小二乘算法得到目标位置的基础上利用参考终端的相关信息构建的约束圆来对最终估计位置进行判定修正。仿真和实验结果表明,该方法对定位精度的提升具有可行性;与一般基于信号强度的定位算法相比具有显著精确性,在20 m误差距离内的置信概率达到了59.6%。
Considering the limitations that the current positioning methods havepower consumption,accuracy,etc.,a NB-IoT positioning algorithm is proposed.Cloud computing is used to avoid the contradiction between the complexity of terminal equipment and power consumption.Base on the RSSI ranging model,the characteristics of wide coverage of the NB-IoT are used,and with the support of the reference terminal,the optimal strategy is used to select the relevant environmental parameters to make the ranging results more accurate.While using the least squares algorithm to obtain the target position,the constraint circle constructed by the relevant information of the reference terminal is used to determine and correct the final estimated position.Simulation and experimental results show that this method is feasible to improve the positioning accuracy;compared with general positioning algorithms based on signal strength,it has significant accuracy,and the confidence probability within 20 m error distance reaches 59.6%.
作者
方承志
唐亮
宋怡笑
Fang Chengzhi;Tang Liang;Song Yixiao(College of Electronic and Optical Engineering&College of Microelectronic,Nanjing University of Posts and Telecommunications,Nanjing 210023,China)
出处
《电子测量技术》
北大核心
2022年第1期84-88,共5页
Electronic Measurement Technology
基金
国家自然科学基金(61271334)项目资助。
作者简介
方承志,博士,副教授,主要研究方向为模式识别、嵌入式系统和信号处理。E-mail:fangchengzhi@163.com;通信作者:唐亮,硕士,主要研究方向为信号处理。E-mail:Tlscorpio@163.com。
