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| 基于UKF的异类传感器集中式融合算法 | |
| 引用本文： | 陈嘉鸿,张新曼,张忠华,韩九强.基于UKF的异类传感器集中式融合算法[J].航天控制,2008,26(5). |
| 作者姓名： | 陈嘉鸿 张新曼 张忠华 韩九强 |
| 作者单位： | 1. 西安交通大学电信学院,西安,710049;中国卫星海上测控部,江苏江阴,214431 2. 西安交通大学电信学院,西安,710049 3. 中国卫星海上测控部,江苏江阴,214431 |
| 摘 要： | 综合考虑航天器跟踪测量中速度和精度的要求,对异类传感器集中式融合问题进行了研究,提出了基于无迹卡尔曼滤波(UKF,Unscented Kalman Filter)和简化的分类数据压缩技术的非线性系统实时集中式融合算法.仿真表明新的算法融合性能优于基于扩展卡尔曼滤波(EKF,Extended Kalman Filter)和扩维技术的并行集中式融合算法. |
| 关 键 词： | 无迹卡尔曼滤波 集中式融合 异类传感器 数据压缩 |
UKF-based Centralized Fusion Algorithm for Inhomogeneous Sensors |
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| CHEN Jiahong,ZHANG Xinman,ZHANG Zhonghua,HAN Jiuqiang.UKF-based Centralized Fusion Algorithm for Inhomogeneous Sensors[J].Aerospace Control,2008,26(5). | |
| Authors: | CHEN Jiahong ZHANG Xinman ZHANG Zhonghua HAN Jiuqiang |
| Abstract: | Considering of precision and speed in spacecrafts tracking,the centralized fusion algorithms for inhomogeneous sensors are studied.A new real-time algorithm based on unscented Kalman filter(UKF) and simplified classifying data-compression(DC) technology is proposed for nonlinear multi-sensor data fusion.In view of real time precision,the new algorithm is suitable for multi-sensor single-target tracking,especially for the local center of space measuring.The simulation results show that the performance of the new algorithm is superior to the extended Kalman filter(EKF) and expanded-dimension(ED) technology based parallel centralized fusion algorithms. |
| Keywords: | Unscented Kalman Filter Centralized fusion Inhomogeneous sensors Data compression |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |