| 动态定位的模型偏差检测与校正 |
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| 引用本文： | 宋迎春,朱建军,陈正阳.动态定位的模型偏差检测与校正[J].测绘学报,2005,34(4):294-299. |
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| 作者姓名： | 宋迎春 朱建军 陈正阳 |
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| 作者单位： | 中南大学,信息物理工程学院,湖南,长沙,410083 |
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| 摘 要： | 动态定位的数据处理中广泛应用卡尔曼滤波,而卡尔曼滤波的应用要求动态模型(函数模型)和随机模型可靠和切合实际,但实际测量定位中难以保证观测对象的规则运动,因而容易出现模型误差.探讨在实际应用中存在模型误差时的卡尔曼滤波,研究动态定位时卡尔曼滤波的模型检测与校正,给出一种偏差分离估计方法.由于不存在状态增广,因而该方法计算效率高.最后以一数字仿真(模拟)实验论证方法的可行性.
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| 关 键 词： | 卡尔曼滤波 预报残差 可靠性分析 动态定位 随机模型 偏差分离 检测与校正 Kinematic Positioning Model 论证方法 实验 模拟 数字仿真 计算效率 状态 估计方法 研究 存在 型误差 运动 规则 对象 观测 |
| 文章编号： | 1001-1595（2005）04-0294-06 |
| 收稿时间： | 02 2 2005 12:00AM |
| 修稿时间： | 2005-02-022005-07-29 |
The Detecting and Correcting of the Model Biases of Kinematic Positioning |
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| SONG Ying-chun,ZHU Jian-jun,CHEN Zheng-yang.The Detecting and Correcting of the Model Biases of Kinematic Positioning[J].Acta Geodaetica et Cartographica Sinica,2005,34(4):294-299. |
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| Authors: | SONG Ying-chun ZHU Jian-jun CHEN Zheng-yang |
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| Institution: | School of lnfo Physics and Geomatics Engineering, Central South University, Changsha 410083, China |
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| Abstract: | Kalman filtering is widely used for data processing in Kinematic GPS Positioning,while the practical application of Kalman filtering requires the dynamic model(functional model) and the stochastic model to be reliable and accurate,yet it is difficult to maintain regular motion of the object in actual kinematic positioning,thus model biases are usually generated.In view of this problem of kinematic positioning,this thesis discusses Kalman filtering when model biases exist in practical applications,studies model bias detecting and correcting of Kalman filtering with kinematic positioning,and provides a departing estimation algorithm of model biases.Since expansion of state does not exist,this method is efficient and the values obtained are accurate.Lastly,a digital simulation is employed to prove the feasibility of this method. |
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| Keywords: | Kalman filtering predicted residual reliability analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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