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Post-flight trajectory reconstruction of suborbital free-flyers using GPS raw data
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Space and Plasma Physics.ORCID iD: 0000-0003-2422-5426
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Space and Plasma Physics.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).
2017 (English)In: Journal of Geodetic Science, ISSN 2081-9919, E-ISSN 2081-9943, Vol. 7, no 1, p. 94-104Article in journal (Refereed) Published
Abstract [en]

This paper describes the reconstruction of postflight trajectories of suborbital free flying units by using logged GPS raw data. We took the reconstruction as a global least squares optimization problem, using both the pseudo-range and Doppler observables, and solved it by using the trust-region-reflective algorithm, which enabled navigational solutions of high accuracy. The code tracking was implemented with a large number of correlators and least squares curve fitting, in order to improve the precision of the code start times, while a more conventional phased lock loop was used for Doppler tracking. We proposed a weighting scheme to account for fast signal strength variation due to free-flier fast rotation, and a penalty for jerk to achieve a smooth solution. We applied these methods to flight data of two suborbital free flying units launched on REXUS 12 sounding rocket, reconstructing the trajectory, receiver clock error and wind up rates. The trajectory exhibits a parabola with the apogee around 80 km, and the velocity profile shows the details of payloadwobbling. The wind up rates obtained match the measurements from onboard angular rate sensors.

Place, publisher, year, edition, pages
De Gruyter Open Ltd , 2017. Vol. 7, no 1, p. 94-104
Keywords [en]
Estimation, Least squares problem, Optimization
National Category
Aerospace Engineering
Identifiers
URN: urn:nbn:se:kth:diva-312326DOI: 10.1515/jogs-2017-0011ISI: 000438300400001Scopus ID: 2-s2.0-85117207113OAI: oai:DiVA.org:kth-312326DiVA, id: diva2:1658669
Note

QC 20220517

Available from: 2022-05-17 Created: 2022-05-17 Last updated: 2022-06-25Bibliographically approved

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Ivchenko, NickolayYuan, YunxiaLindén, Erik

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CiteExportLink to record
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  • apa
  • ieee
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  • de-DE
  • en-GB
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Output format
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  • asciidoc
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