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dc.contributor.authorNor Hazadura, Hamzah-
dc.contributor.authorSazali, Yaacob, Prof. Dr.-
dc.contributor.authorHariharan, Muthusamy, Dr.-
dc.contributor.authorNorhizam, Hamzah-
dc.date.accessioned2014-04-29T08:27:28Z-
dc.date.available2014-04-29T08:27:28Z-
dc.date.issued2013-03-
dc.identifier.citationp. 78-82en_US
dc.identifier.isbn978-146735609-1-
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6530018-
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/34178-
dc.descriptionProceeding of The 9th International Colloquium on Signal Processing and its Applications 2013 (CSPA 2013) at Kuala Lumpur, Malaysia on 8 March 2013 through 10 March 2013en_US
dc.description.abstractObjective of this paper is to investigate whether the noise in attitude dynamics model and measurement model is Gaussian white noise process or not. This is important because if the assumption regarding the noise is wrong, this will lead to unreliable and inaccurate estimation. The residual between the standard model and the real data is computed and is analyzed using autocorrelation function via Minitab software. The result shows that the error in the attitude dynamics model is not Gaussian white noise, while the error in measurement model is Gaussian white noise.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceeding of The 9th International Colloquium on Signal Processing and its Applications 2013 (CSPA 2013);-
dc.subjectAutocorrelation functionen_US
dc.subjectNoiseen_US
dc.subjectSatellite attitude estimationen_US
dc.titleAnalysis of the residual between the model and the data using autocorrelation function for satellite attitude estimationen_US
dc.typeWorking Paperen_US
dc.contributor.urlhazadura@unimap.myen_US
dc.contributor.urls.yaacob@unimap.edu.myen_US
dc.contributor.urlhari@unimap.edu.myen_US
Appears in Collections:Conference Papers
Hariharan Muthusamy, Dr.
Sazali Yaacob, Prof. Dr.

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