摘要
在蜂窝网络无线定位中,NLOS是影响定位精度的一个重要因素.如何更好的抑制NLOS误差是提高定位精度的关键.为此,考虑普遍存在NLOS的情况,即假定NLOS的概率为1,则得到的TDOA测量值均含有NLOS误差.这样根据信道的先验信息和Greenstein模型就可以估计出NLOS误差的均值,从而可以修正TDOA测量值,即重构TDOA测量值.把重构后的TDOA测量数据,应用到LCLS算法就可以完成对移动台的位置估计.仿真结果表明,在普遍存在NLOS的情况下,该算法能有效抑制NLOS误差,取得较精确的估计位置.
Non line-of-sight (NLOS) caonditions influence the precision of localization in a cellular network.How to better restrain NLOS error is the key to improving the precision of localization. Common NLOS conditions were considered, with the probability of NLOS as 1. The time difference of arrival (TDOA) measurement values obtained contain NLOS error, so it is possible to estimate the mean value of NLOS error according to the prior information of the channel and Greenstein model. Constructed TDOA measurements were applied to the LCLS algorithm to obtain the position of mobile station. Simulation results demonstrate that an accurate location estimate is possible even in severe NLOS conditions.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2005年第1期114-118,共5页
Journal of Harbin Engineering University
关键词
非视距
蜂窝网络
TDOA
non-line-of-sight( NLOS)
cellular network
time difference of arrival(TDOA)
