DocumentCode :
1454298
Title :
Satellite attitude determination based on GPS signal-to-noise ratio
Author :
Axelrad, Penina ; Behre, Charles P.
Author_Institution :
Center for Astrodynamics Res., Colorado Univ., Boulder, CO, USA
Volume :
87
Issue :
1
fYear :
1999
fDate :
1/1/1999 12:00:00 AM
Firstpage :
133
Lastpage :
144
Abstract :
A method is presented for coarse attitude determination using the Global Positioning System (GPS) signal-to-noise ratio (SNR) from a single antenna mounted on a near-Earth satellite. It comprises a calibration procedure and a single-point optimal solution for the orientation of the antenna boresight vector. The calibration step creates an empirical mapping of the SNR to the angle between the antenna boresight and the GPS line-of-sight vector, based upon a ground or flight data set. The rms attitude accuracy at the level of 3°-10° is demonstrated with actual flight data from several spacecraft. Performance is shown to depend strongly on the number of GPS signals available and the quality of the calibration mapping function. The method is suitable as a backup attitude sensor for low-cost satellite and terrestrial applications, and as a coarse reference for ambiguity resolution and integrity verification of phase-based GPS attitude-determination algorithms
Keywords :
Global Positioning System; artificial satellites; calibration; satellite antennas; GPS signal-to-noise ratio; Global Positioning System; ambiguity resolution; antenna boresight vector; backup attitude sensor; calibration procedure; empirical mapping; integrity verification; line-of-sight vector; near-Earth satellite; orientation; performance; phase-based GPS attitude-determination algorithms; satellite attitude determination; single-point optimal solution; Calibration; Global Positioning System; Instruments; Position measurement; Satellite antennas; Satellite navigation systems; Signal to noise ratio; Space missions; Space vehicles; Vehicle dynamics;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/5.736346
Filename :
736346
Link To Document :
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