基于分布式UWB的形变监测算法
UWB-Based Landslide Change Data Analysis

传统的UWB空间测距定位方法需要架设稳定的UWB基站，针对道路边坡坡面形变监测的实际环境存在无法满足稳定基站的部署需求问题，提出基于多个UWB模块分布式测距的形变监测算法，无需架设基站测量各个UWB标签的绝对位置，仅需通过采集标签之间的数据通信信息，获取UWB模块的相对位移测距信息，通过本文设计的三种不同的分布式相对位移建模方法，利用集中式卡尔曼滤波数据融合方法，间接获得分布式标签的总体位移情况，进而实现对坡面总体形变情况的监测。在室外环境下进行了仿真坡面形变实验，实验结果表明，在未设置基站的环境下，本文提出的分布式UWB形变监测方法可以在无固定基站情况下反应坡面的形变情况，有效提高了UWB测距定位技术在复杂路面边坡监测领域的适用性。
The traditional UWB spatial ranging and positioning method requires the installation of stable UWB base stations. In response to the problem that the actual environment of road slope deformation monitoring cannot meet the deployment requirements of stable base stations, a deformation monitoring algorithm based on distributed ranging of multiple UWB modules is proposed. There is no need to install a base station to measure the absolute position of each UWB tag, and only the relative displacement ranging information of the UWB module is obtained by collecting data communication information between the tags, By using the three different distributed relative displacement modeling methods designed in this article and the centralized Kalman filtering data fusion method, the overall displacement of the distributed labels can be indirectly obtained, thereby achieving monitoring of the overall deformation of the slope surface. A simulation slope deformation experiment was conducted in an outdoor environment, and the experimental results showed that in the environment without a base station, the distributed UWB deformation monitoring method proposed in this paper can reflect the deformation of the slope without a fixed base station, effectively improving the applicability of UWB ranging and positioning technology in the field of complex road slope monitoring.