| 自适应Kalman滤波在多传感器数据融合中应用 |
| |
| 引用本文： | 李洪波,杨军锋.自适应Kalman滤波在多传感器数据融合中应用[J].国外电子测量技术,2006,25(6):69-71. |
| |
| 作者姓名： | 李洪波 杨军锋 |
| |
| 作者单位： | 空军工程大学工程学院三系,陕西,西安,710038 |
| |
| 摘 要： | 文中介绍基于白噪声滤波器和平滑器的改进的Sage和Husa噪声统计估值器及相应的自适应Kalman滤波器,可处理未知常的和时变的噪声统计估计问题.仿真结果验证了改进滤波器在精度和收敛速度上的优越性.
|
| 关 键 词： | 自适应Kalman滤波 白噪声 多传感器 |
Application of adaptable Kalman filter in multi-sensor data fusion |
| |
| Li Hongbo,Yang Junfeng.Application of adaptable Kalman filter in multi-sensor data fusion[J].Foreign Electronic Measurement Technology,2006,25(6):69-71. |
| |
| Authors: | Li Hongbo Yang Junfeng |
| |
| Abstract: | This article presents an improved Sage and Husa noise statistical estimator and relevant adaptable Kalman filter based on white noise filter. This algorithm can handle problems of unknown parameters and constantly changed noise statistical estimation, and enhance the precision. The result of simulation proves the superiority of improved filter on precision and convergence speed. |
| |
| Keywords: | adaptable Kalman filter white noise multi-sensor |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
