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。
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.
出处
《飞行器测控学报》
2008年第6期76-78,共3页
Journal of Spacecraft TT&C Technology
关键词
实时数据处理
数据融合
模糊贴近度
Real-time Data Processing
Data Fusion
Fuzzy Clingy Degree
