基于非视距鉴别的室内移动节点跟踪算法  

Mobile location tracking based on NLOS identification in indoor environments

作　　者：张宴龙[1] 陈卫东[1] 陈畅[1] 

机构地区：[1]中国科学院电磁空间信息重点实验室,中国科学技术大学,安徽合肥230027

出　　处：《中国科学技术大学学报》2014年第10期828-834,共7页JUSTC

基　　金：中国高技术研究发展(863)计划(2009AA011204)资助

摘　　要：NLOS环境是影响室内移动节点跟踪的关键因素之一.为了降低NLOS环境对室内移动节点跟踪的影响,提出一种自适应跟踪滤波算法.该算法首先基于典型室内环境非视距偏置误差的时间变化特性分析,建立修正偏置扩展卡尔曼滤波来估计距离量测中的非视距误差;然后根据估计结果对LOS/NLOS环境进行鉴别;最后联合NLOS鉴别算法和修正偏置扩展卡尔曼滤波建立自适应跟踪滤波算法.数值仿真结果表明,该算法在室内环境具有较好的跟踪精度和较强的自适应性.NLOS propagation is one of the key factors that affect tracking accuracy in indoor environments.An adaptive tracking algorithm was proposed to mitigate the NLOS error for indoor mobile localization. The correlation between adjacent NLOS errors in time was analyzed and exploited. A modified extended Kalman filter （MEKF） was presented which includes the NLOS error as part of the state variables. NI.OS identification was achieved based on the state estimation of MEKF. MEKF and NLOS identification were combined to implement the adaptive tracking algorithm. Simulation results demonstrate that the proposed algorithm has better tracking accuracy and adaptability in indoor environments.

关 键 词：室内定位 非视距误差估计 NLOS鉴别 自适应跟踪滤波 

分 类 号：TN958.97[电子电信—信号与信息处理]