| 弹道再入目标轨迹跟踪中非线性滤波算法研究 |
| |
| 引用本文： | 田亚菲,莫骅,于飞.弹道再入目标轨迹跟踪中非线性滤波算法研究[J].舰船电子工程,2014(3):39-43,115. |
| |
| 作者姓名： | 田亚菲 莫骅 于飞 |
| |
| 作者单位： | 兰州大学信息学院;总参谋部通信训练基地; |
| |
| 摘 要： | 弹道再入目标轨迹跟踪是一个重要的非线性滤波应用问题。论文将常见的非线性滤波器分类为基于点的滤波器和基于密度的滤波器,对比分析了各类算法的基础理论原理,仿真实验得出在高斯噪声条件下,EKF要优于UKF和PF,在闪烁噪声条件下PF要优于EKF和UKF的结论。
|
| 关 键 词： | 弹道再入目标 轨迹跟踪 非线性滤波 线性自回归估计 扩展卡尔曼滤波 无迹卡尔曼滤波 粒子滤波 |
Nonlinear Filtering Algorithm on Ballistic Reentry Target Trajectory Tracking |
| |
| TIAN Yafei,MO Hua,YU Fei.Nonlinear Filtering Algorithm on Ballistic Reentry Target Trajectory Tracking[J].Ship Electronic Engineering,2014(3):39-43,115. |
| |
| Authors: | TIAN Yafei MO Hua YU Fei |
| |
| Institution: | 1. Information College Lanzhou University, Lanzhou 730000) (2. General Staff Communication Training Base, Zhangjiakou 075100) |
| |
| Abstract: | Ballistic reentry target trajectory tracking is an important application of nonlinear filtering problems.In this paper,nonlinear filtering methods being used for this tracking problem can be largely categorized into two types：the point based filtering method and the density-based filtering method.The theoretical principles of various algorithms are comparatively analyzed.Simulation results prove that EKF is superior to the other algorithms under Gaussian noise and PF is the only filter could be used under flicker noise conditions. |
| |
| Keywords: | ballistic reentry target trajectory tracking nonlinear filtering linear regression estimates extended Kalman filter unscented Kalman filter particle filter |
| 本文献已被 CNKI 维普 等数据库收录！ |
