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Interpolation methods for tracking spacecraft in ultratight formation

Bradshaw, Miranda J., Gao, Yang and Homewood, Kevin (2019) Interpolation methods for tracking spacecraft in ultratight formation Journal of Astronomical Telescopes, Instruments, and Systems, 5 (2), 028003. 028003-1 - 028003-12.

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Abstract

By measuring the centroid of a beam on a detector, one can track the movement of that beam across the detector. By tracking this movement, one can track the object encompassing the detector, for example, a spacecraft. A variety of system-specific performance inhibitors can make this a challenge, requiring a robust calibration method. The goal of this investigation is to model the true beam position of the instrument in terms of the measured beam position. For this, a mathematical model is created that interpolates and corrects the measured beam position using precollected position data—a "calibration model." The real-world scenario for this investigation is the flight-representative model of the fine lateral and longitudinal sensor (FLLS) instrument, built by Neptec Design Group and Neptec UK for the European Space Agency mission PROBA-3. Performance inhibitors for FLLS are cropping of the beam, imperfect optics, and a varying distance the beam has traveled (up to 250 m). Using bivariate spline interpolation for the FLLS calibration model gives the best performance, achieving a measurement accuracy well within the mission requirement of <300  μm.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Bradshaw, Miranda J.m.bradshaw@surrey.ac.uk
Gao, YangYang.Gao@surrey.ac.uk
Homewood, KevinK.Homewood@surrey.ac.uk
Date : 2 May 2019
Funders : Innovate UK, European Space Agency
DOI : 10.1117/1.JATIS.5.2.028003
Grant Title : Knowledge Transfer Partnership
Copyright Disclaimer : © 2019 Society of Photo-Optical Instrumentation Engineers (SPIE).
Uncontrolled Keywords : Calibration; Modeling; Spacecraft; Formation flying; Performance; Instrument; Space operations; Intelligence systems; Sensors; Data modeling; Performance modeling; Coronagraphy
Depositing User : Clive Harris
Date Deposited : 15 Oct 2019 12:11
Last Modified : 15 Oct 2019 12:11
URI: http://epubs.surrey.ac.uk/id/eprint/852931

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