A strap-down inertial navigation/spectrum red-shift/star sensor (SINS/SRS/SS) autonomous integrated system for spacecraft navigation

Gao, Z, Mu, D, Zhong, Y and Gu, C 2018, 'A strap-down inertial navigation/spectrum red-shift/star sensor (SINS/SRS/SS) autonomous integrated system for spacecraft navigation', Sensors (Switzerland), vol. 18, no. 7, pp. 1-16.


Document type: Journal Article
Collection: Journal Articles

Title A strap-down inertial navigation/spectrum red-shift/star sensor (SINS/SRS/SS) autonomous integrated system for spacecraft navigation
Author(s) Gao, Z
Mu, D
Zhong, Y
Gu, C
Year 2018
Journal name Sensors (Switzerland)
Volume number 18
Issue number 7
Start page 1
End page 16
Total pages 16
Publisher MDPIAG
Abstract This paper presents a new Strap-down Inertial Navigation System/Spectrum Red-Shift/Star Sensor (SINS/SRS/SS) system integration methodology to improve the autonomy and reliability of spacecraft navigation using the spectrum red-shift information from natural celestial bodies such as the Sun, Jupiter and the Earth. The system models for SINS/SRS/SS integration are established. The information fusion of SINS/SRS/SS integration is designed as the structure of the federated Kalman filter to fuse the local estimations of SINS/SRS and SINS/SS integrated subsystems to generate the global state estimation for spacecraft navigation. A new robust adaptive unscented particle filter is also developed to obtain the local state estimations of SINS/SRS and SINS/SS integrated subsystems in a parallel manner. The simulation results demonstrate that the proposed methodology for SINS/SRS/SS integration can effectively calculate navigation solutions, leading to strong autonomy and high reliability for spacecraft navigation.
Subject Automation and Control Engineering
Keyword(s) Robust adaptive unscented particle filter
SINS/SRS/SS integrated navigation system
Spacecraft navigation
Spectral red-shift
DOI - identifier 10.3390/s18072039
Copyright notice © 2018 by the authors. Licensee MDPI, Basel, Switzerland.
ISSN 1424-8220
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