摘要
超宽带(UWB)信号具有极大的带宽和极高的时间分辨率,非常适合室内精确定位,基于信号到达时间差(TDOA)的定位算法是UWB定位的首选方法。针对非视距(NLOS)环境下定位精度低的问题,提出了一种结合Chan算法对非视距误差进行鉴别和消减的TDOA定位算法。首先,利用Chan算法估计出移动目标的初始位置并计算出TDOA测量误差,然后对比误差门限进行NLOS鉴别和消减,最后再次使用Chan算法计算出移动目标的精确位置。仿真实验表明,增加定位基站个数、减小信号测量噪声和非视距误差,可以有效提高定位精度;与Chan算法相比,改进算法:在只有一个非视距基站的情况下,均方根误差平均减小了39. 55%;在有三个非视距基站的情况下,均方根误差平均减小了56. 06%。该算法具有更高的定位精度。
Uhra-WideBand （UWB） signals with great bandwidth and high temporal resolution make them ideal for indoor precise positioning. The location algorithm based on Time Difference Of Arrival （TDOA） is the preferred method of UWB positioning. Concerning the problem of low localization accuracy in Non-Line Of Sight （NLOS） environment, an improved TDOA algorithm combined with Chan algorithm was proposed to identify and migrate NLOS error. Firstly, Chan algorithm was used to estimate the initial position of the moving target and calculate the TDOA measurement error. Secondly, the contrast error threshold was identified and subtracted by NLOS. Finally, Chan algorithm was used again to calculate the exact position of the moving target. The simulation results show that the number of positioning base stations is increased, the signal measurement noise and NLOS error is reduced, which can effectively improve the positioning accuracy. Compared with Chan algorithm, the proposed algorithm reduces average root mean square error by 39.55% with only one NLOS base station and 56.06% with three NLOS base stations. The proposed algorithm has higher positioning accuracy.
作者
曾玲
彭程
刘恒
ZENG Ling;PENG Cheng;LIU Heng(Chengdu Institute of Computer Application,Chinese Academy of Sciences,Chengdu Sichuan 610041,China;University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《计算机应用》
CSCD
北大核心
2018年第A01期135-139,共5页
journal of Computer Applications
基金
四川省科技支撑计划项目(2015GZ0088)
"西部之光"联合学者项目
关键词
室内定位
超宽带
到达时间差
非视距
CHAN算法
indoor positioning
Ultra-WideBand （UWB）
Time Difference Of Arrival （TDOA）
Non-Line Of Sight （NLOS）
Chan algorithm
