Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69186
Title: The study of particle filter for satellite angular rate estimation without rate sensor measurement
Authors: Nor Hazadura, Hamzah
Sazali, Yaacob
Ahmad Kadri, Junoh
Mohd Zamri, Hasan
hazadura@unimap.edu.my
Keywords: Particle filter
Satellite
Issue Date: 2018
Publisher: EDP Sciences
Citation: MATEC Web of Conferences, vol.150, 2018, 6 pages
Series/Report no.: Malaysia Technical Universities Conference on Engineering and Technology (MUCET 2017);
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.
Description: Link to publisher's homepage at https://www.matec-conferences.org/
URI: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69186
ISSN: 2261-236X (online)
Appears in Collections:Institute of Engineering Mathematics (Articles)
Sazali Yaacob, Prof. Dr.

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