File:SMALL SATELLITE SWARM THEORY FOR SPARSE APERTURE RADAR APPLICATIONS (IA smallsatellitesw1094561306).pdf
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Summary
SMALL SATELLITE SWARM THEORY FOR SPARSE APERTURE RADAR APPLICATIONS
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| Author |
Yungbluth, John C., III |
| Title |
SMALL SATELLITE SWARM THEORY FOR SPARSE APERTURE RADAR APPLICATIONS |
| Publisher |
Monterey, CA; Naval Postgraduate School |
| Description |
In the next few years, the Space Systems Academic Group (SSAG) and the Small Satellite Laboratory at the Naval Postgraduate School (NPS) may begin work on a small satellite swarm constellation. This thesis introduces flight operations concepts for small satellite formations conducting sparse aperture radar missions to inform decision makers at NPS of possible flight operations options. An orbital modeling program called Systems Tool Kit was used to simulate combinations of flight patterns and orbits, including a pendulum and a helix inline hybrid model, and a cartwheel hybrid model. The MATLAB software package was used to plot the simulated orbits, calculating the flight formation stability, and for calculating the relative effects of sensor separation on the system resolution. Findings include a stable dispersion pattern for the satellites to conduct their mission and an ability to maintain safe, collision-free flight operations. Subjects: Satellite Swarm Theory |
| Language | English |
| Publication date | December 2018 |
| Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
| Accession number |
smallsatellitesw1094561306 |
| Source | |
| Permission (Reusing this file) |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. |
Licensing
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File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
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| current | 16:57, 24 July 2020 |  | 1,275 × 1,650, 122 pages (10.15 MB) | Fæ | FEDLINK - United States Federal Collection smallsatellitesw1094561306 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #27687) |