|
|||||
|
|
| 基于模糊理论的渐消滤波算法 | |
| 引用本文： | 李庆奎,吴星,崔健勇,陈勤勤.基于模糊理论的渐消滤波算法[J].海洋测绘,2008,28(5):13-16. |
| 作者姓名： | 李庆奎 吴星 崔健勇 陈勤勤 |
| 作者单位： | 1. 解放军信息工程大学,测绘学院,河南,郑州,450052;66011部队,北京,102600 2. 解放军信息工程大学,测绘学院,河南,郑州,450052;63926部队,北京,100085 3. 解放军信息工程大学,测绘学院,河南,郑州,450052 4. 61365部队,天津,300140 |
| 基金项目： | 解放军信息工程大学测绘学院硕士创新创优基金 ， 山东省重点实验室基金 |
| 摘 要： | 渐消滤波具有控制状态模型误差影响的能力。在渐消滤波原理的基础上，提出了一种基于模糊控制理论的渐消滤波算法。该方法是基于预测残差和模糊理论构造渐消因子，它克服了在实践中现有渐消因子求解可能出现负定现象，求解时必须附加条件这一缺点，从而有效调节动力学模型信息与观测信息对导航解的贡献，并用算例验证了该方法的可行性和有效性。 |
| 关 键 词： | 卡尔曼滤波 渐消滤波 模糊控制 渐消因子 |
The Fading Filtering Based on Fuzzy Theory |
|
| LI Qing- kui,WU Xing,CUI Jian- yong,CHEN Qin-qin.The Fading Filtering Based on Fuzzy Theory[J].Hydrographic Surveying and Charting,2008,28(5):13-16. | |
| Authors: | LI Qing- kui WU Xing CUI Jian- yong CHEN Qin-qin |
| Institution: | LI Qing- kui, WU Xing, CUI Jian- yong, CHEN Qin - qin ( 1. Institute of Surveying and Mapping, Information Engineering University, Zhengzhou, Henan,450052 ; 2. 66011 Troops, Beijing, 102600 ;3. 63926 Troops, Beijing, 100085 ;4. 61365 Troops, Tianjin,300140) |
| Abstract: | We point out that the fading filter can control the kinematic model error influence.In this paper a fuzzy fading Kalman filtering way is put forward,it is on base of fading Kalman filtering.This algorithm is using fuzzy theory structure fading factor by residual deviation.It overcomes the shortcoming that the existing fading factors may be indefinite in some situation and some calculation strategies should be applied in practice,so that adjust the contribution between dynamics model and observation information on Navigation Results.It is shown,by calculations and analysis,that this way is feasible and effective. |
| Keywords: | Kalman filtering fading filtering fuzzy control fading factor |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
| 点击此处可从《海洋测绘》浏览原始摘要信息 | |
| 点击此处可从《海洋测绘》下载免费的PDF全文 | |