In this paper, an estimator is derived for jointly estimating a spacecraft’s position and orientation based on measurements of photons from astrophysical signals, specifically x-ray pulsars. It is shown that the accuracy of a navigation solution using x-ray pulsars is inherently coupled to the accuracy of the attitude solution. The efficacy of the estimator is demonstrated using Monte Carlo simulations which demonstrate the relationship between attitude solution error and position solution error.
|Original language||English (US)|
|Title of host publication||Guidance, Navigation, and Control, 2019|
|Editors||Heidi E. Hallowell|
|Number of pages||12|
|State||Published - 2019|
|Event||42nd AAS Rocky Mountain Section Guidance and Control Conference, 2019 - Breckenridge, United States|
Duration: Jan 31 2019 → Feb 6 2019
|Name||Advances in the Astronautical Sciences|
|Conference||42nd AAS Rocky Mountain Section Guidance and Control Conference, 2019|
|Period||1/31/19 → 2/6/19|
Bibliographical noteFunding Information:
This research has made use of data obtained through the High Energy Astrophysics Science Archive Research Center Online Service, provided by the NASA/Goddard Space Flight Center. This research has made use of data obtained from the Suzaku satellite, a collaborative mission between the space agencies of Japan (JAXA) and the USA (NASA). The authors gratefully acknowledge JAXA/NASA for the data. The authors also acknowledge the NASA/Minnesota Space Grant Consortium and the Air Force Research Lab University Nanosat Program for providing funding to support this work. The authors also acknowledge the contributions of Dr. Lindsay Glesener in her assistance with obtaining and analyzing x-ray data and assessing the level of background noise to use in the simulation studies. While the authors gratefully acknowledge the afore-mentioned individuals and organizations, the views and conclusions expressed in this paper are those of the authors alone and should not be interpreted as necessarily representing the official policies, either expressed or implied, of any organization.
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