|
|||||
|
|
| 基于Unscented变换的强跟踪滤波器 | |
| 引用本文： | 王小旭.基于Unscented变换的强跟踪滤波器[J].控制与决策,2010,25(7):1063-1068. |
| 作者姓名： | 王小旭 |
| 作者单位： | 1. 哈尔滨工程大学,自动化学院,哈尔滨,150001;西北工业大学自动化学院,西安,710072 2. 哈尔滨工程大学,自动化学院,哈尔滨,150001 |
| 摘 要： | 针对强跟踪滤波器(STF)存在要求非线性函数连续可微和强非线性时滤波性能不佳等理论局限性,提出一种基于Unscented变换的强跟踪滤波器(UTSTF).UTSTF基于STF的理论框架,采用Unscented变换代替STF中的雅可比矩阵计算:UTSTF兼具STF鲁棒性强、Unscented变换精度高、实现简单的优点,有效克服了STF的理论局限性.仿真实例验证了UTSTF的有效性. |
| 关 键 词： | 非线性 强跟踪滤波器 Unscented变换 鲁棒性强 精度高 |
| 收稿时间： | 2009/7/6 0:00:00 |
| 修稿时间： | 2009/9/1 0:00:00 |
Strong tracking filter based on unscented transformation |
|
| WANG Xiao-xu,ZHAO Lin,XIA Quan-xi,HAO Yong.Strong tracking filter based on unscented transformation[J].Control and Decision,2010,25(7):1063-1068. | |
| Authors: | WANG Xiao-xu ZHAO Lin XIA Quan-xi HAO Yong |
| Abstract: | nonlinear and calling for nonlinear function continuous and differentiable. Therefore, STF based on unscented transformation (UTSTF) is proposed. UTSTF views STF as the basic theory framework and makes unscented transformation take place of calculating nonlinear function Jacobian matrix, so it combines strong robustness of STF with high accuracy and easy implementation of unscented transformation. The simulation examples show the effectiveness of UTSTF. |
| Keywords: | Nonlinear|Strong tracking filter|Unscented transformation|Strong robustness|High accuracy |
| 本文献已被 万方数据 等数据库收录！ | |
| 点击此处可从《控制与决策》浏览原始摘要信息 | |
| 点击此处可从《控制与决策》下载全文 | |