无线电通信技术2024，Vol.50Issue(5)：932-939,8.DOI:10.3969/j.issn.1003-3114.2024.05.011
改进的Chan-Taylor联合定位算法
Improved Chan-Taylor Joint Localization Algorithm
摘要
Abstract
Aiming at the problem that Ultra Wide Band(UWB)indoor localization is easily interfered by Non-Line of Sight(NLoS)errors,which leads to the degradation of indoor localization accuracy,an improved Chan Particle Filter Taylor(CPFT)itera-tive localization algorithm is proposed.It firstly calculates an initial value by the Chan algorithm and then utilizes this initial value,in combination with the particle filter algorithm,to estimate the initial position again.This estimated position is used as the initial value of the Taylor algorithm.Simultaneously,after each iteration of the Taylor algorithm,it adopts a one-dimensional linear search algorithm to dynamically adjust the step size,update the estimated position,reduce the localization error,and prevent non-convergence to output the localization coordinates finally.The experimental results show that the algorithm can effectively suppress the influence of NLoS and improve the accuracy of indoor localization.关键词
室内定位/超宽带/非视距/粒子滤波Key words
indoor positioning/UWB/NLoS/particle filter分类
信息技术与安全科学引用本文复制引用
孟伟强,陈俊..改进的Chan-Taylor联合定位算法[J].无线电通信技术,2024,50(5):932-939,8.基金项目
国家自然科学基金(61871132) National Natural Science Foundation of China(61871132) （61871132）
