一种新的蜂窝网NLOS误差抑制算法  

A New Algorithm to Mitigate NLOS Errors in Cellular Networks

作　　者：王建辉[1] 陈乐然[1] 胡捍英[1] 

机构地区：[1]解放军信息工程大学信息工程学院,郑州450002

出　　处：《电子与信息学报》2008年第6期1424-1427,共4页Journal of Electronics & Information Technology

摘　　要：非视距传播(NLOS)误差是目前基于蜂窝网络的移动台定位系统提高定位精度必须解决的关键问题,该文提出一种基于概率密度估计和偏差Kalman滤波器的NLOS误差无偏估计算法。仿真结果表明,该算法在性能上优于现有同类算法,并且算法对环境先验知识的需求更少,具有更广泛的适用性。The Non-Line-Of-Sight （NLOS） error is the main difficulty for mobile user location in cellular wireless communication system. An accurate and unbiased estimation approach using Probability Density Function （PDF） estimator and biased Kalman filter is presented to mitigate the NLOS error in this paper. The simulation results indicate that with the less prior information about communication environments, the approach has a better location performance even in severe NLOS situations.

关 键 词：无线定位 非视距传播误差 概率密度估计 KALMAN滤波 

分 类 号：TN929.5[电子电信—通信与信息系统]