Attitude estimation with albedo interference on sun sensor measurements

Demet Cilden-Guler; Hanspeter Schaub; Chingiz Hajiyev; Zerefsan Kaymaz

doi:10.2514/1.A34814

Attitude estimation with albedo interference on sun sensor measurements

Demet Cilden-Guler^*, Hanspeter Schaub, Chingiz Hajiyev, Zerefsan Kaymaz

^*Corresponding author for this work

University of Colorado Boulder

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

A three-axis attitude estimation scheme is presented using a set of albedo interfered coarse sun sensors (CSSs) of Earth, which are inexpensive, small in size, and light in power consumption. For modeling the interference, a two-stage albedo estimation algorithm based on autoregressive model is proposed. The algorithm does not require any data, such as albedo coefficients, spacecraft position, sky condition, or ground coverage, other than albedo measurements. The results are compared with five albedo models on the basis of two reference conditions. The estimated albedo is fed to the CSS measurements for correction. The corrected CSS measurements are processed under three estimation techniques with two different sensor configurations. The relative performance of the attitude estimation schemes when using different albedo models is examined.

Original language	English
Pages (from-to)	148-163
Number of pages	16
Journal	Journal of Spacecraft and Rockets
Volume	58
Issue number	1
DOIs	https://doi.org/10.2514/1.A34814
Publication status	Published - 2021

Bibliographical note

Publisher Copyright:
© AIAA International. All rights reserved.

Funding

D. Cilden–Guler is supported by ASELSAN (Military Electronic Industries), Research Fund of the Istanbul Technical University (BAP-42097), and The Scientific and Technological Research Council of Turkey (TUBITAK) 2211-C Program for her Ph.D. studies, and partly by Fulbright Visiting Student Researcher Program and TUBI-TAK 2214-A Program for this research.

Funders	Funder number
Aselsan
Military Electronic Industries
TUBITAK
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu
Istanbul Teknik Üniversitesi	BAP-42097

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abstract = "A three-axis attitude estimation scheme is presented using a set of albedo interfered coarse sun sensors (CSSs) of Earth, which are inexpensive, small in size, and light in power consumption. For modeling the interference, a two-stage albedo estimation algorithm based on autoregressive model is proposed. The algorithm does not require any data, such as albedo coefficients, spacecraft position, sky condition, or ground coverage, other than albedo measurements. The results are compared with five albedo models on the basis of two reference conditions. The estimated albedo is fed to the CSS measurements for correction. The corrected CSS measurements are processed under three estimation techniques with two different sensor configurations. The relative performance of the attitude estimation schemes when using different albedo models is examined.",

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PY - 2021

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Attitude estimation with albedo interference on sun sensor measurements

Abstract

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