Application of Kalman filtering based on sequential processing for satellite navigation
In order to reduce the operational volume and ensure the real-time capability of navigation algorithm of Kalman filtering,a novel filtering method called single-satellite sequential extended Kalman filtering (S<sup>3</sup>EKF) was proposed based on extended Kalman filtering (EKF) and seq...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2012-01-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)01-0174-08/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841539946881482752 |
|---|---|
| author | Can-hui CHEN Xiao-lin ZHANG Hang-yu HUO |
| author_facet | Can-hui CHEN Xiao-lin ZHANG Hang-yu HUO |
| author_sort | Can-hui CHEN |
| collection | DOAJ |
| description | In order to reduce the operational volume and ensure the real-time capability of navigation algorithm of Kalman filtering,a novel filtering method called single-satellite sequential extended Kalman filtering (S<sup>3</sup>EKF) was proposed based on extended Kalman filtering (EKF) and sequential processing,where the single-satellite was as basic filtering unit.Simulation results show that,compared with the traditional EKF method,the S<sup>3</sup>EKF method can decrease the computation load efficiently when the number of visible satellites is no less than 7,and the reduction of computation load increases with the increase of the satellite’s visible n r,the decrease will reach more than 50% when the number of visible satellites is no less than 15.On the other hand,the consistency and stability of navigation solution are good when the satellites and their number are time-vraiant in S<sup>3</sup>EKF method. |
| format | Article |
| id | doaj-art-bbc304936fa4496ea3cc2d53229b60b5 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2012-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-bbc304936fa4496ea3cc2d53229b60b52025-01-14T06:31:03ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-01-013317418159659819Application of Kalman filtering based on sequential processing for satellite navigationCan-hui CHENXiao-lin ZHANGHang-yu HUOIn order to reduce the operational volume and ensure the real-time capability of navigation algorithm of Kalman filtering,a novel filtering method called single-satellite sequential extended Kalman filtering (S<sup>3</sup>EKF) was proposed based on extended Kalman filtering (EKF) and sequential processing,where the single-satellite was as basic filtering unit.Simulation results show that,compared with the traditional EKF method,the S<sup>3</sup>EKF method can decrease the computation load efficiently when the number of visible satellites is no less than 7,and the reduction of computation load increases with the increase of the satellite’s visible n r,the decrease will reach more than 50% when the number of visible satellites is no less than 15.On the other hand,the consistency and stability of navigation solution are good when the satellites and their number are time-vraiant in S<sup>3</sup>EKF method.http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)01-0174-08/satellite navigationextended Kalman filteringsequential processingleast square methodcomputation load |
| spellingShingle | Can-hui CHEN Xiao-lin ZHANG Hang-yu HUO Application of Kalman filtering based on sequential processing for satellite navigation Tongxin xuebao satellite navigation extended Kalman filtering sequential processing least square method computation load |
| title | Application of Kalman filtering based on sequential processing for satellite navigation |
| title_full | Application of Kalman filtering based on sequential processing for satellite navigation |
| title_fullStr | Application of Kalman filtering based on sequential processing for satellite navigation |
| title_full_unstemmed | Application of Kalman filtering based on sequential processing for satellite navigation |
| title_short | Application of Kalman filtering based on sequential processing for satellite navigation |
| title_sort | application of kalman filtering based on sequential processing for satellite navigation |
| topic | satellite navigation extended Kalman filtering sequential processing least square method computation load |
| url | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)01-0174-08/ |
| work_keys_str_mv | AT canhuichen applicationofkalmanfilteringbasedonsequentialprocessingforsatellitenavigation AT xiaolinzhang applicationofkalmanfilteringbasedonsequentialprocessingforsatellitenavigation AT hangyuhuo applicationofkalmanfilteringbasedonsequentialprocessingforsatellitenavigation |