| dc.contributor.author | Nor Hazadura, Hamzah | |
| dc.contributor.author | Sazali, Yaacob | |
| dc.contributor.author | Ahmad Kadri, Junoh | |
| dc.contributor.author | Mohd Zamri, Hasan | |
| dc.date.accessioned | 2020-12-31T01:12:24Z | |
| dc.date.available | 2020-12-31T01:12:24Z | |
| dc.date.issued | 2018 | |
| dc.identifier.citation | MATEC Web of Conferences, vol.150, 2018, 6 pages | en_US |
| dc.identifier.issn | 2261-236X (online) | |
| dc.identifier.uri | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69186 | |
| dc.description | Link to publisher's homepage at https://www.matec-conferences.org/ | en_US |
| dc.description.abstract | 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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | EDP Sciences | en_US |
| dc.relation.ispartofseries | Malaysia Technical Universities Conference on Engineering and Technology (MUCET 2017); | |
| dc.subject | Particle filter | en_US |
| dc.subject | Satellite | en_US |
| dc.title | The study of particle filter for satellite angular rate estimation without rate sensor measurement | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1051/matecconf/201815006010 | |
| dc.contributor.url | hazadura@unimap.edu.my | en_US |
