目前UWB技术常用于室内定位。使用DW1000进行测距数据收集,针对信号干扰下的超宽带(UWB)精确定位问题,提出了基于改进的最小二乘法定位优化模型,包括对于干扰和正常数据的分类以及后续的定位。针对干扰信号,结合基站三维几何分布关系,引入与距离相关的权重对算法进行了改进,改进后的模型可将三维误差降低33.31%。最后,对于实际中的UWB定位进行了动态预测以及模拟,效果良好。

At present,UWB technology is commonly used in indoor positioning.DW1000 is used to collect ranging data.Aiming at the problem of ultra wideband (UWB) precise positioning under signal interference,a positioning optimization model based on improved least square method is proposed,including the classification of interference and normal data and subsequent positioning.Aiming at the interference signal,combined with the three-dimensional geometric distribution of the base station,the distance related weight is introduced to improve the algorithm.The improved model can reduce the three-dimensional error by 33.31%.Finally,the dynamic prediction and simulation of UWB positioning in practice are carried out,and the effect is eximious.