| Outlier Rejecting Muitirate Model for State Estimation |
| |
| 作者姓名： | 肖艳军 李建勋 薛阳 |
| |
| 作者单位： | School of Electronic, Information ＆ Electrical Eng. , Shanghai Jiaotong Univ. , Shanghai 200030, China |
| |
| 基金项目： | National Natural Science Foundation of China （60304007） and QMX Project of Shanghai Science and Technology Development Foundation（04QMX1410） |
| |
| 摘 要： |
|
| 文章编号： | 1007-1172（2006）01-0018-04 |
| 收稿时间： | 2005-09-30 |
Outlier Rejecting Muitirate Model for State Estimation |
| |
| Xiao YanJun;Li JianXun;Xue Yang.Outlier Rejecting Muitirate Model for State Estimation[J].Journal of Shanghai Jiaotong university,2006,11(1):18-21. |
| |
| Authors: | Xiao YanJun;Li JianXun;Xue Yang |
| |
| Abstract: | Wavelet transform was introduced to detect and eliminate outliers in time-frequency domain. The outlier rejection and multirate information extraction were initially incorporated by wavelet transform, a new outlier rejecting multirate model for state estimation was proposed. The model is applied to state estimation with interacting multiple model, as the outlier is eliminated and more reasonable multirate information is extracted, the estimation accuracy is greatly enhanced. The simulation results prove that the new model is robust to outliers and the estimation performance is significantly improved. |
| |
| Keywords: | wavelet transform outlier elimination multirate model |
| 本文献已被 维普 等数据库收录！ |
