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

Author

Hamzah, N.H. ; Yaacob, Sazali ; Muthusamy, H. ; Hamzah, N.

Author_Institution

Sch. of Mechatron. Eng., Univ. Malaysia Perlis, Arau, Malaysia

fYear

2013

fDate

8-10 March 2013

Firstpage

78

Lastpage

82

Abstract

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.

Keywords

AWGN; aerospace computing; artificial satellites; attitude measurement; computerised instrumentation; correlation methods; measurement errors; Gaussian white noise process; Minitab software; attitude dynamics model; autocorrelation function; measurement error model; residual analysis; satellite attitude estimation; Correlation; Data models; Estimation; Mathematical model; Noise measurement; White noise; Satellite attitude estimation; autocorrelation function; noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and its Applications (CSPA), 2013 IEEE 9th International Colloquium on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4673-5608-4

Type

conf

DOI

10.1109/CSPA.2013.6530018

Filename

6530018