| 在线快速抑噪的自适应强跟踪滤波算法 |
| |
| 引用本文： | 陈世明,郑丽楠,李慧敏,方华京.在线快速抑噪的自适应强跟踪滤波算法[J].华中科技大学学报(自然科学版),2011,39(9):78-81. |
| |
| 作者姓名： | 陈世明 郑丽楠 李慧敏 方华京 |
| |
| 作者单位： | 1. 华东交通大学电气与电子工程学院,江西南昌,330013
2. 华中科技大学控制科学与工程系,湖北武汉,430074 |
| |
| 基金项目： | 国家自然科学基金资助项目(60804066,60864004,61034006) |
| |
| 摘 要： | 针对强跟踪滤波算法对系统时变噪声缺乏自适应能力,导致系统状态估计精度较低的问题,提出一种可以在线估计噪声协方差阵的快速抑噪自适应强跟踪滤波算法,该算法可以抑制噪声对系统状态估计的影响,使系统状态估计迅速收敛到真实值附近.仿真实验对比了强跟踪滤波算法和快速抑噪自适应强跟踪滤波算法在噪声变化环境下的性能,结果表明：快速抑噪...
|
| 关 键 词： | 强跟踪滤波器 状态估计 噪声协方差阵 快速抑噪 自适应性 |
Online fast-denoising adaptive strong tracking filter algorithm |
| |
| Chen Shiming Zheng Linan Li Huimin Fang Huajing.Online fast-denoising adaptive strong tracking filter algorithm[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2011,39(9):78-81. |
| |
| Authors: | Chen Shiming Zheng Linan Li Huimin Fang Huajing |
| |
| Institution: | Chen Shiming1 Zheng Linan1 Li Huimin1 Fang Huajing2(1 School of Electrical and Electronic Engineering,East China Jiaotong University,Nanchang 330013,China,2 Department of Control Science and Engineering,Huazhong University of Science and Technology,Wuhan 430074,China) |
| |
| Abstract: | As strong tracking filter(STF) algorithm seriously decreases the estimation accuracy of system state,owing to its little adaptability for systems with time-varying noises,a fast-denoising adaptive strong tracking filter(FASTF) algorithm with the online adaptive estimation for the noise covariance matrixes was proposed.The effects of noises from the system state estimation were suppressed,and the system state estimation converged to real values quickly.Performances of STF and FASTF algorithms in environments... |
| |
| Keywords: | strong tracking filter(SFT) state estimation noise covariance matrixes fast-denoising adaptability |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
