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| 改进的渐消卡尔曼滤波在GPS动态定位中的应用 | |
| 引用本文： | 王虎,王解先,白贵霞,李浩军.改进的渐消卡尔曼滤波在GPS动态定位中的应用[J].同济大学学报(自然科学版),2011,39(1):124-128. |
| 作者姓名： | 王虎 王解先 白贵霞 李浩军 |
| 作者单位： | 1. 同济大学,测量与国土信息工程系,上海,200092 2. 同济大学,测量与国土信息工程系,上海,200092;现代工程测量国家测绘局重点实验室,上海,200092 3. 现代工程测量国家测绘局重点实验室,上海,200092;陕西测绘局,陕西,西安,710054 |
| 基金项目： | 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. |
| 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 |
| 收稿时间： | 9/9/2009 8:06:21 PM |
| 修稿时间： | 2010/11/21 0:00:00 |
An Improved Fading Kalman Filter and its Application to GPS Kinematic Positioning |
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| WANG Hu,WANG Jiexian,BAI Guixia and LI Haojun.An Improved Fading Kalman Filter and its Application to GPS Kinematic Positioning[J].Journal of Tongji University(Natural Science),2011,39(1):124-128. | |
| Authors: | WANG Hu WANG Jiexian BAI Guixia and LI Haojun |
| Institution: | WANG Hu1,WANG Jiexian1,2,BAI Guixia2,3,LI Haojun1(1.Department of Surveying and Geo-informatics,Tongji University,Shanghai 200092,China,2.Key Laboratory of Modern Engineering Surveying,State Bureau of Surveying and Mapping,Shanghai 20092,3.Shaanxi Bureau of Surveying,Xi'an 710054,China) |
| Abstract: | 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... |
| Keywords: | GPS kinematic positioning fading Kalman filter fading factor vector sliding window |
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