| 一种基于模糊贴近度的多站数据融合算法 |
| |
| 引用本文： | 潘昶,朱敏.一种基于模糊贴近度的多站数据融合算法[J].飞行器测控学报,2008(6):76-78. |
| |
| 作者姓名： | 潘昶 朱敏 |
| |
| 作者单位： | 92941部队,辽宁葫芦岛125001 |
| |
| 摘 要： | 提出了一种基于模糊贴近度的多站数据融合算法。该算法利用模糊贴近度的概念和矩阵特征向量理论，确定多站数据融合算法的各个测量设备的权重。能充分利用测量数据，提高目标跟踪精度。与传统方法相比，该方法计算简便，便于工程实现。
|
| 关 键 词： | 实时数据处理 数据融合 模糊贴近度 |
Multi-station Data Fusion Algorithms Based on Fuzzy Clingy Degree |
| |
| PAN Chang,ZHU Min.Multi-station Data Fusion Algorithms Based on Fuzzy Clingy Degree[J].Journal of Spacecraft TT&C Technology,2008(6):76-78. |
| |
| Authors: | PAN Chang ZHU Min |
| |
| Institution: | (PLA Unit 92941, Huludao,Liaoning Province 125001) |
| |
| Abstract: | The method of multi-station data fusion algorithm based on fuzzy clingy degree is discussed. The weight of each equipment can be calculated based on the theories of probability source combination and characteristic vector of non-negative matrix. The modified algorithms can restrain the bad influences of outliers and improve the tracking accuracy. This method is easy to be realized by comparison with the others. |
| |
| Keywords: | Real-time Data Processing Data Fusion Fuzzy Clingy Degree |
| 本文献已被 维普 等数据库收录！ |
| 点击此处可从《飞行器测控学报》浏览原始摘要信息 |
| 点击此处可从《飞行器测控学报》下载免费的PDF全文 |
