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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69186
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dc.contributor.authorNor Hazadura, Hamzah-
dc.contributor.authorSazali, Yaacob-
dc.contributor.authorAhmad Kadri, Junoh-
dc.contributor.authorMohd Zamri, Hasan-
dc.date.accessioned2020-12-31T01:12:24Z-
dc.date.available2020-12-31T01:12:24Z-
dc.date.issued2018-
dc.identifier.citationMATEC Web of Conferences, vol.150, 2018, 6 pagesen_US
dc.identifier.issn2261-236X (online)-
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/69186-
dc.descriptionLink to publisher's homepage at https://www.matec-conferences.org/en_US
dc.description.abstractThis 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.isoenen_US
dc.publisherEDP Sciencesen_US
dc.relation.ispartofseriesMalaysia Technical Universities Conference on Engineering and Technology (MUCET 2017);-
dc.subjectParticle filteren_US
dc.subjectSatelliteen_US
dc.titleThe study of particle filter for satellite angular rate estimation without rate sensor measurementen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1051/matecconf/201815006010-
dc.contributor.urlhazadura@unimap.edu.myen_US
Appears in Collections:Institute of Engineering Mathematics (Articles)
Sazali Yaacob, Prof. Dr.

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