基于超宽带技术的TDOA室内三维定位算法研究

The research of TDOA indoor three-dimensional positioning algorithm based on ultra-wideband technology

在室内环境下对目标进行无线定位时,由于障碍物的遮挡而造成的非视距(NLOS)误差对定位精度产生了很大的影响。针对此问题,对利用超宽带(UWB)技术测量得到的到达时间差(TDOA)数据进行残差分析,首先鉴别测得的数据中是否存在NLOS误差,然后针对存在NLOS误差的情况,提出将Fang算法得到的定位结果作为泰勒级数展开法的初始定位值,组成Fang-Taylor级数联合算法来计算NLOS情况下的定位结果。而对于视距(LOS)情况下测得的数据,仍采用单一的Fang算法进行计算。仿真对比实验表明,Fang-Taylor级数联合算法有效地提高了室内NLOS环境下目标的定位精度。

When positioning the target in the indoor environment, the non-line-of-sight （NLOS） error caused by the occlusion of the obstacles had a great impact on positioning accuracy . In order to solve this problem , this paper used residual analysis to identify the time difference of arrival （TDOA ） datas which measured by the ultra -wideband （UWB ） technique . Then determine whether there are NLOS errors. For the NLOS case , to propose results of Fang algorithm positioning as the initial value of the Taylor series expansion method , to combine into the Fang -Taylor series algorithm to calculate the measurement datas. And for the LOS case , we still use the Fang algorithm to calculate . The indoor environment simulation shows that the Fang -Taylor series algorithm improved the accuracy of the positioning .