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| ESO滤波器在运动参数估计中的仿真研究 | |
| 引用本文： | 王晓卫,周启煌,王仲. ESO滤波器在运动参数估计中的仿真研究[J]. 系统仿真学报, 2007, 19(8): 1766-1768,1792 |
| 作者姓名： | 王晓卫 周启煌 王仲 |
| 作者单位： | 1. 装甲兵工程学院控制工程系,北京,100072;陆军航空兵学院机载设备系,北京,101116 2. 装甲兵工程学院控制工程系,北京,100072 3. 装甲兵工程学院信息工程系,北京,100072 |
| 基金项目： | 国家自然科学基金;武器装备预研基金 |
| 摘 要： | 通常情况下使用Kalman滤波器进行参数估计，然而在目标运动模型和噪声统计特性存在不确定性的条件下，Kalman滤波的应用将会受到一些限制。在分析ESO滤波器滤波性能的基础上，将其应用在运动参数估计中，有效地解决Kalman滤波所遇到的问题．并从系统噪声分别为高斯白噪声、有色噪声和目标作机动运动这三个方面与Kalman滤波器进行了比较。仿真结果表明ESO滤波器算法简单，有效，具有鲁棒性。 |
| 关 键 词： | 计算机视觉 扩张状态观测器 卡尔曼滤波器 运动参数估计 |
| 文章编号： | 1004-731X（2007）08-1766-03 |
| 收稿时间： | 2006-03-14 |
| 修稿时间： | 2006-03-142006-08-07 |
Simulation Study of ESO Filter on Motion Parameter Estimation |
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| WANG Xiao-wei,ZHOU Qi-huang,WANG Zhong. Simulation Study of ESO Filter on Motion Parameter Estimation[J]. Journal of System Simulation, 2007, 19(8): 1766-1768,1792 | |
| Authors: | WANG Xiao-wei ZHOU Qi-huang WANG Zhong |
| Affiliation: | 1 .Department of control Engineering, Armored Force Engineering Academy, Beijing 100072, China; 2.Department of Aircraft equipment, Army aviation force institute, Beijing 101116, China; 3.Department of Information Engineering, Armored Force Engineering Academy, Beijing 100072, China |
| Abstract: | In general conditions, Kalman filter technique has been applied extensively in parameter estimation. When there is uncertainty in dynamic model or the statistics of noise sources are not fully known or unavailable, the application of Kalman filter is restricted. ESO filter was introduced and applied in motion parameter estimation, which ef[ectively solved the problems that appeared in the applications of Kalman filtering, Their performances were compared and studied when the observation noise was Gaussian white noise, color noise and moving object was maneuvering .The simulation results illustrate that ESO filter is simple, effective, and robust. |
| Keywords: | computer vision extended state observer kalman filter motion parameter estimation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |