改进的渐消卡尔曼滤波在GPS动态定位中的应用  

An Improved Fading Kalman Filter and its Application to GPS Kinematic Positioning

作　　者：王虎[1] 王解先[1,2] 白贵霞[2,3] 李浩军[1] 

机构地区：[1]同济大学测量与国土信息工程系,上海200092 [2]现代工程测量国家测绘局重点实验室,上海200092 [3]陕西测绘局,陕西西安710054

出　　处：《同济大学学报（自然科学版）》2011年第1期124-128,共5页Journal of Tongji University:Natural Science

基　　金：国家自然科学基金(40974018);中国地震局陆态网络工程项目(CMONOCⅡ-RJ-2008-005)

摘　　要：基于中长基线GPS动态定位模型和渐消卡尔曼滤波理论,提出构建新的渐消因子向量,通过对不同滑动窗口宽度设计一组平行滤波器,利用加权获得优化之后的协方差阵来改善中长基线中动态定位的精度.数据解算结果验证了该方法的正确性和可靠性.Based on medium-long baseline GPS kinematic positioning model and the theory of classic fading Kalman filter,a modified fading factor vector is proposed.Different widths of sliding windows are used to obtain a series of parallel filters.The weight factor of covariance is decided by the residuals of every filter.The modified fading Kalman filter is more effective and sensitive than classic Kalman filter.Various experiments are made to test the performance of this method.The results show the precision of long-baseline GPS kinematic positioning is improved.

关 键 词：GPS动态定位 渐消卡尔曼滤波 渐消因子向量 滑动窗口 

分 类 号：P228.4[天文地球—大地测量学与测量工程]