基于ToA和误差抑制的大规模网络节点定位

Node localization based on Time-of-Arrival and error mitigation in large-scale network

针对混合视距/非视距环境中的移动节点定位,提出一种基于到达时间测量值和误差抑制的定位方案。首先,配备有超宽带无线电的节点随机移动,以收集到达时间测量数据,并执行最短路径距离选择算法得到包括一跳节点距离在内的非视距误差减小后的多跳节点距离;采用多维标度确定节点的初始位置;采用迭代三边测量法和误差积累管理相结合来获得定位节点位置。仿真实验结果表明,提出的定位方案的定位精确度优于其他几种常用方案。

Aiming at the issue of localization for mobile nodes in hybrid Line-Of-Sight/Non-LineOf-Sight(LOS/NLOS)environments,a large-scale network node localization scheme based on Time-ofArrival(ToA)measurements and error mitigation is proposed.Firstly,nodes equipped with Ultra-Wide Band(UWB)radio move randomly for collecting ToA measurements,and the shortest path selection algorithm is conducted to obtain the multi-hop node distance including the one-hop node distance with NLOS error mitigation.Then,the initial node positions are determined by using Multi-Dimensional Scaling(MDS).Finally,unlocalized node positions are obtained by the combination of iterative trilateration and error accumulation management.The simulation results show that the location accuracy of the proposed location scheme is superior to that of other common schemes.