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基于Kalman滤波的地图匹配方法
引用本文:杨波,王雪,雷亮.基于Kalman滤波的地图匹配方法[J].微计算机信息,2010(13).
作者姓名:杨波  王雪  雷亮
作者单位:重庆科技学院电子信息工程学院;
摘    要:地图匹配方法利用电子地图的地理数据对GPS定位数据进行校正,可有效提高定位数据的精度。本文首先采用最近点估计方法计算道路垂直方向的GPS误差,对该误差采用Kalman滤波方法获得GPS偏差估计,以此偏差估计修正GPS测量值并进行地图匹配。实验表明利用该方法可将定位数据准确地匹配到道路上,使匹配后的定位精度得到提高。

关 键 词:GPS偏差估计  地图匹配  Kalman滤波  最近点估计  

Map Matching Method by Kalman Filter
YANG Bo WANG Xue LEI Liang.Map Matching Method by Kalman Filter[J].Control & Automation,2010(13).
Authors:YANG Bo WANG Xue LEI Liang
Affiliation:YANG Bo WANG Xue LEI Liang (School of Electronic Information Engineering,Chongqing University of Science , Technology 401331,China)
Abstract:Map matching is used in GPS position data correction by geo-information of electronic map,which can effectively improve the position precision.In this paper,Nearest Point Estimate (NPE) is firstly used to calculate the GPS errors in road vertical orientation.GPS biased estimate,which is applied to correct the GPS measurement values in map matching,can then be calculated through this GPS errors by a Kalman filter.Experiments shows that position data are accurately match with the road according to this method...
Keywords:GPS biased estimate  map matching  Kalman filter  nearest point estimate  
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