| 基于BP神经网络的Kalman滤波算法的改进 |
| |
| 引用本文： | 杨青智,林伟新. 基于BP神经网络的Kalman滤波算法的改进[J]. 机电产品开发与创新, 2007, 20(6): 130-131,151 |
| |
| 作者姓名： | 杨青智 林伟新 |
| |
| 作者单位： | 西安电子科技大学,机电工程学院,陕西,西安,710071;西安电子科技大学,机电工程学院,陕西,西安,710071 |
| |
| 摘 要： | 针对传统的Kalman滤波算法在机动较强的目标跟踪中误差变大甚至发散的缺点,考虑到BP神经网络具有较强的非线性逼近能力,提出了用BP神经网络辅助Kalman滤波的新算法,仿真表明该算法优于传统的Kalman滤波算法.
|
| 关 键 词： | Kalman滤波 BP神经网络 目标跟踪 |
| 文章编号： | 1002-6673（2007）06-130-03 |
| 收稿时间： | 2007-09-29 |
| 修稿时间： | 2007-09-29 |
Based on BP Neural Network Kalman Filter Algorithm Improvement |
| |
| YANG Qing-Zhi,LIN Wei-Xin. Based on BP Neural Network Kalman Filter Algorithm Improvement[J]. Development & Innovation of Machinery & Electrical Products, 2007, 20(6): 130-131,151 |
| |
| Authors: | YANG Qing-Zhi LIN Wei-Xin |
| |
| Abstract: | In view of the traditional Kalman filter algorithm the shortcoming which the probable error fill-out even diverges in the maneuver strong target tracking, considered the BP neural network has the strong non-linearity to approach ability, proposed assists the Kalman filter with the BP neural network the new algorithm, the simulation results indicated this algorithm surpasses traditional the Kalman filter algorithm. |
| |
| Keywords: | Kalman filter BP neural network target tracking |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
