文献类型：期刊文献

英文题名：Ultra Wideband indoor positioning method based on Kalman filter and Taylor algorithm

作者：Lu, Ningmeng[1]; Gao, Zhi[1]

机构：[1] School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, 200237, China

年份：2022

起止页码：910

外文期刊名：2022 4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022

收录：EI(收录号：20223812766587)

语种：英文

外文关键词：Errors - Indoor positioning systems - Iterative methods - Least squares approximations - Ultra-wideband (UWB)

摘要：So as to solve the problem that the non-line-of-sight (NLOS) error caused by the indoor complicated environment affects the positioning accuracy of Ultra Wideband (UWB) technology, an indoor collaborative positioning algorithm supported by Kalman and Taylor algorithm is proposed during this paper. Firstly, the ranging value obtained by UWB technology is filtered by incremental Kalman filter to eliminate the influence of NLOS error and measurement system error. Then, taking the calculation result of the least square method (LSM) as the initial value, the Taylor algorithm is used for iteration to realize the positioning. The experimental results show that the method can effectively eliminate the interference of complex environment in the positioning system, decrease the NLOS error and improve the precision of positioning. ? 2022 IEEE.