基于超宽带信号到达时间的室内人员被动式定位算法及仿真

Device-Free Indoor Person Localization Algorithm and Simulation Based on Time of Arrival for UWB Signal

针对超宽带网络中室内人员被动式定位问题,提出了一种基于超宽带信号到达时间的定位算法,实现了单目标与双目标定位.讨论了人员存在时特有的多径传输信道,根据信道模型提出定位算法:首先,利用无人时接收信号的先验知识,提取与人有关的接收信号;其后,估计人所在信号传输路径的到达时间;最后,计算各路接收信号的传输距离,采用加权最小二乘算法对目标进行位置估计.基于时域一致性绕射理论,建立室内人员被动式定位仿真场景.仿真结果表明,所提算法单目标定位结果以90%,的概率低于0.3,m;双目标的定位结果以78%,的概率低于2,m.

For the problem of indoor device-free person localization in the ultra-wideband network,a novel localization algorithm based on time of arrival was proposed to obtain the location of single target and double targets.The unique multi-path transmission channel with people＇s presence was discussed,and the localization algorithm based on that channel model was proposed.First,the received signal related to people was extracted by using a priori knowledge of the received signal when there were no targets in the environment.Second,the time of arrival for the signal transmission path where people were present was estimated.Finally,ranging from various paths of the received signal was calculated,and the weighted least squares algorithm was used for target position estimation.Based on time-domain UTD,a simulation scenario for indoor device-free person localization was established.Simulation results show that 90%, of the localization result of single target is lower than 0.3,m,and the root mean square error is 0.7,m;for double targets,78%, of the localization result is lower than 2,m,and the root mean square error is 2.1,m.