The Fractional Kalman Filter-Based Asynchronous Multirate Sensor Information Fusion
A fractional Kalman filter-based multirate sensor fusion algorithm is presented to fuse the asynchronous measurements of the multirate sensors. Based on the characteristics of multirate and delay measurement, the state is reestimated at the time when the delayed measurement occurs by using weighted...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/1450353 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832552447826984960 |
|---|---|
| author | Guangyue Xue Yubin Xu Jing Guo Wei Zhao |
| author_facet | Guangyue Xue Yubin Xu Jing Guo Wei Zhao |
| author_sort | Guangyue Xue |
| collection | DOAJ |
| description | A fractional Kalman filter-based multirate sensor fusion algorithm is presented to fuse the asynchronous measurements of the multirate sensors. Based on the characteristics of multirate and delay measurement, the state is reestimated at the time when the delayed measurement occurs by using weighted fractional Kalman filter, and then the state estimation is updated at the current time when the delayed measurement arrives following the similar pattern of Kalman filter. The simulation examples are given to illustrate the effectiveness of the proposed fusion method. |
| format | Article |
| id | doaj-art-96731f40be4e4bcdacb3ed574dbc9088 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-96731f40be4e4bcdacb3ed574dbc90882025-02-03T05:58:39ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/14503531450353The Fractional Kalman Filter-Based Asynchronous Multirate Sensor Information FusionGuangyue Xue0Yubin Xu1Jing Guo2Wei Zhao3China Academy of Civil Aviation Science and Technology, Chaoyang District, Beijing 100028, ChinaChina Academy of Civil Aviation Science and Technology, Chaoyang District, Beijing 100028, ChinaChina Academy of Civil Aviation Science and Technology, Chaoyang District, Beijing 100028, ChinaThe Thirty-Second Research Institute of China Electronic Technology Group Corporation, Jiading District, Shanghai 201808, ChinaA fractional Kalman filter-based multirate sensor fusion algorithm is presented to fuse the asynchronous measurements of the multirate sensors. Based on the characteristics of multirate and delay measurement, the state is reestimated at the time when the delayed measurement occurs by using weighted fractional Kalman filter, and then the state estimation is updated at the current time when the delayed measurement arrives following the similar pattern of Kalman filter. The simulation examples are given to illustrate the effectiveness of the proposed fusion method.http://dx.doi.org/10.1155/2018/1450353 |
| spellingShingle | Guangyue Xue Yubin Xu Jing Guo Wei Zhao The Fractional Kalman Filter-Based Asynchronous Multirate Sensor Information Fusion Complexity |
| title | The Fractional Kalman Filter-Based Asynchronous Multirate Sensor Information Fusion |
| title_full | The Fractional Kalman Filter-Based Asynchronous Multirate Sensor Information Fusion |
| title_fullStr | The Fractional Kalman Filter-Based Asynchronous Multirate Sensor Information Fusion |
| title_full_unstemmed | The Fractional Kalman Filter-Based Asynchronous Multirate Sensor Information Fusion |
| title_short | The Fractional Kalman Filter-Based Asynchronous Multirate Sensor Information Fusion |
| title_sort | fractional kalman filter based asynchronous multirate sensor information fusion |
| url | http://dx.doi.org/10.1155/2018/1450353 |
| work_keys_str_mv | AT guangyuexue thefractionalkalmanfilterbasedasynchronousmultiratesensorinformationfusion AT yubinxu thefractionalkalmanfilterbasedasynchronousmultiratesensorinformationfusion AT jingguo thefractionalkalmanfilterbasedasynchronousmultiratesensorinformationfusion AT weizhao thefractionalkalmanfilterbasedasynchronousmultiratesensorinformationfusion AT guangyuexue fractionalkalmanfilterbasedasynchronousmultiratesensorinformationfusion AT yubinxu fractionalkalmanfilterbasedasynchronousmultiratesensorinformationfusion AT jingguo fractionalkalmanfilterbasedasynchronousmultiratesensorinformationfusion AT weizhao fractionalkalmanfilterbasedasynchronousmultiratesensorinformationfusion |