摘要
根据蜂窝网络中非视距(NLOS)传播时延服从指数分布的统计特性,在视距重构/平滑算法的基础上,提出了一种改进的减小NLOS影响的定位方法。该方法首先根据NLOS传播时延的统计特性,估计NLOS传播时延的均值和方差;然后对到达时间差(TDOA)测量值进行修正,进而估计移动台(MS)位置;最后对不同时刻估计的移动台位置进行加权处理,进一步减小NLOS的影响。仿真结果证明该方法能够有效提高定位算法的定位精度。
Based on the statistical property of the non-line-of-sight (NLOS) propagation in cellular networks and the line-of-sight(LOS) reconstruction / smoothing algorithm, an improved location method is presented to mitigate the influence of the NLOS propagation. First, the mean and variance of the NLOS propagation delay are estimated using the statistical property of the NLOS propagation delay; and then the measurements of time difference of arrival (TDOA) are modified to estimate the location of mobile station (MS) ; finally, the locations of the MS of different time are weighted to further mitigate the influence of the NLOS propagation. The simulation results prove that the proposed method can improve the location accuracy of the location algorithm effectively.
出处
《科学技术与工程》
2009年第17期4969-4972,4977,共5页
Science Technology and Engineering
关键词
定位
非视距传播
到达时间差
传播时延
position location non-line-of-sight propagation time difference of arrivalpropagation delay