A sequential processing method for converted measurement Kalman filters based on orthogonal transform
文献类型：会议论文
| 作者 | Tian, Junlin1,2; Fu, Chengyu1; Tang, Tao1 |
| 出版日期 | 2012 |
| 会议名称 | Lecture Notes in Electrical Engineering, Computer, Informatics, Cybernetics and Applications - International Conference on Computer, Informatics, Cybernetics and Applications 2011, CICA 2011 |
| 会议日期 | 2012 |
| 卷号 | 107 LNEE |
| 页码 | 19-27 |
| 通讯作者 | Tian, J. (tianjunlin22@163.com) |
| 中文摘要 | To effectively reduce computational requirements of converted measurement Kalman filters (CMKF), a sequential processing method was presented in this paper. Firstly, the spherical measurement of the target position was converted into Cartesian coordinate domain, resulting in converted measurement error and the corresponding statistics (mean and covariance). Secondly, a sequential processing method which sequentially treated scalar components of the converted measurement vector, was derived based on orthogonal transform. Finally, the proposed sequential processing method was utilized to implement the CMKF algorithm for a target tracking scenario. The simulation results show that the proposed method can effectively reduce the computational requirements of CMKF algorithm while achieving desired tracking performance. © 2012 Springer Science+Business Media B.V. |
| 英文摘要 | To effectively reduce computational requirements of converted measurement Kalman filters (CMKF), a sequential processing method was presented in this paper. Firstly, the spherical measurement of the target position was converted into Cartesian coordinate domain, resulting in converted measurement error and the corresponding statistics (mean and covariance). Secondly, a sequential processing method which sequentially treated scalar components of the converted measurement vector, was derived based on orthogonal transform. Finally, the proposed sequential processing method was utilized to implement the CMKF algorithm for a target tracking scenario. The simulation results show that the proposed method can effectively reduce the computational requirements of CMKF algorithm while achieving desired tracking performance. © 2012 Springer Science+Business Media B.V. |
| 收录类别 | EI |
| 语种 | 英语 |
| ISSN号 | 18761100 |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/7382]  |
| 专题 | 光电技术研究所_光电工程总体研究室（一室） |
| 作者单位 | 1.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China 2.Graduate School, Chinese Academy of Sciences, Beijing 100039, China |
| 推荐引用方式 GB/T 7714 | Tian, Junlin,Fu, Chengyu,Tang, Tao. A sequential processing method for converted measurement Kalman filters based on orthogonal transform[C]. 见:Lecture Notes in Electrical Engineering, Computer, Informatics, Cybernetics and Applications - International Conference on Computer, Informatics, Cybernetics and Applications 2011, CICA 2011. 2012. |
入库方式： OAI收割
来源：光电技术研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。