The study of particle filter for satellite angular rate estimation without rate sensor measurement
This paper studies particle filter algorithm to estimate the angular rate of a satellite without the rate sensor measurements. In this work, the performance of the algorithm is studied in terms of capability to estimate the angular rate by using the Euler angles attitude information only. The effect...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2018-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201815006010 |
| _version_ | 1818932933713461248 |
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| author | Hamzah Nor Hazadura Yaacob Sazali Junoh Ahmad Kadri Hasan Mohd Zamri |
| author_facet | Hamzah Nor Hazadura Yaacob Sazali Junoh Ahmad Kadri Hasan Mohd Zamri |
| author_sort | Hamzah Nor Hazadura |
| collection | DOAJ |
| description | This paper studies particle filter algorithm to estimate the angular rate of a satellite without the rate sensor measurements. In this work, the performance of the algorithm is studied in terms of capability to estimate the angular rate by using the Euler angles attitude information only. The effects of the number of particles on the algorithm performance are also investigated in terms of accuracy and computational aspects. The performance of the particle filter algorithm is verified using real flight data of Malaysian satellite. |
| first_indexed | 2024-12-20T04:40:22Z |
| format | Article |
| id | doaj.art-0e197369f2194802963ac7fe674ce9ab |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-20T04:40:22Z |
| publishDate | 2018-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-0e197369f2194802963ac7fe674ce9ab2022-12-21T19:53:09ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011500601010.1051/matecconf/201815006010matecconf_mucet2018_06010The study of particle filter for satellite angular rate estimation without rate sensor measurementHamzah Nor HazaduraYaacob SazaliJunoh Ahmad KadriHasan Mohd ZamriThis paper studies particle filter algorithm to estimate the angular rate of a satellite without the rate sensor measurements. In this work, the performance of the algorithm is studied in terms of capability to estimate the angular rate by using the Euler angles attitude information only. The effects of the number of particles on the algorithm performance are also investigated in terms of accuracy and computational aspects. The performance of the particle filter algorithm is verified using real flight data of Malaysian satellite.https://doi.org/10.1051/matecconf/201815006010 |
| spellingShingle | Hamzah Nor Hazadura Yaacob Sazali Junoh Ahmad Kadri Hasan Mohd Zamri The study of particle filter for satellite angular rate estimation without rate sensor measurement MATEC Web of Conferences |
| title | The study of particle filter for satellite angular rate estimation without rate sensor measurement |
| title_full | The study of particle filter for satellite angular rate estimation without rate sensor measurement |
| title_fullStr | The study of particle filter for satellite angular rate estimation without rate sensor measurement |
| title_full_unstemmed | The study of particle filter for satellite angular rate estimation without rate sensor measurement |
| title_short | The study of particle filter for satellite angular rate estimation without rate sensor measurement |
| title_sort | study of particle filter for satellite angular rate estimation without rate sensor measurement |
| url | https://doi.org/10.1051/matecconf/201815006010 |
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