基于扩展卡尔曼滤波的非视距误差消除算法

NLOS Error Mitigation Localization Based on EKF

在蜂窝网无线定位中,到达时间(TOA)或到达时间差(TDOA)中的非视距(NLOS)误差会导致移动台的位置估计出现较大偏差。为了减轻NLOS误差的影响,提出了一种基于扩展卡尔曼滤波(EKF)的非视距误差消除算法。算法通过引入一个NLOS转换因子改进EKF的迭代过程,消除NLOS误差对定位估计的影响。计算机仿真结果表明,在NLOS环境下定位精度的提高是显著的。

Non-line-of-sight （NLOS） of time of arrival （TOA） and time difference of arrival （TDOA） can cause the larger deviation for the mobile loca- tion in cellular wireless communication systems. To mitigate the positioning error, an algorithm for NLOS environment using extended Kalman filtering （EKF） is presented in this paper. The algorithm improves EKF iterative pmcess by introducing NLOS conversion factor, and eliminates the NLOS error on the influ- ence of the position estimation. The computer simulation results show that the algorithm in NLOS environment positioning accuracy is significant.