Analysis of the residual between the model and the data using autocorrelation function for satellite attitude estimation

Proceeding 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 2013

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Main Authors: Nor Hazadura, Hamzah, Sazali, Yaacob, Prof. Dr., Hariharan, Muthusamy, Dr., Norhizam, Hamzah
Other Authors: hazadura@unimap.my
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2014
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Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/34178
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spelling my.unimap-341782014-04-29T08:27:28Z Analysis of the residual between the model and the data using autocorrelation function for satellite attitude estimation Nor Hazadura, Hamzah Sazali, Yaacob, Prof. Dr. Hariharan, Muthusamy, Dr. Norhizam, Hamzah hazadura@unimap.my s.yaacob@unimap.edu.my hari@unimap.edu.my Autocorrelation function Noise Satellite attitude estimation Proceeding 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 2013 Objective 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. 2014-04-29T08:27:28Z 2014-04-29T08:27:28Z 2013-03 Working Paper p. 78-82 978-146735609-1 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6530018 http://dspace.unimap.edu.my:80/dspace/handle/123456789/34178 en Proceeding of The 9th International Colloquium on Signal Processing and its Applications 2013 (CSPA 2013); Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Autocorrelation function
Noise
Satellite attitude estimation
spellingShingle Autocorrelation function
Noise
Satellite attitude estimation
Nor Hazadura, Hamzah
Sazali, Yaacob, Prof. Dr.
Hariharan, Muthusamy, Dr.
Norhizam, Hamzah
Analysis of the residual between the model and the data using autocorrelation function for satellite attitude estimation
description Proceeding 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 2013
author2 hazadura@unimap.my
author_facet hazadura@unimap.my
Nor Hazadura, Hamzah
Sazali, Yaacob, Prof. Dr.
Hariharan, Muthusamy, Dr.
Norhizam, Hamzah
format Working Paper
author Nor Hazadura, Hamzah
Sazali, Yaacob, Prof. Dr.
Hariharan, Muthusamy, Dr.
Norhizam, Hamzah
author_sort Nor Hazadura, Hamzah
title Analysis of the residual between the model and the data using autocorrelation function for satellite attitude estimation
title_short Analysis of the residual between the model and the data using autocorrelation function for satellite attitude estimation
title_full Analysis of the residual between the model and the data using autocorrelation function for satellite attitude estimation
title_fullStr Analysis of the residual between the model and the data using autocorrelation function for satellite attitude estimation
title_full_unstemmed Analysis of the residual between the model and the data using autocorrelation function for satellite attitude estimation
title_sort analysis of the residual between the model and the data using autocorrelation function for satellite attitude estimation
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/34178
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score 13.214268