Star Imager For Nanosatellite Applications
| dc.contributor.advisor | Lee, Regina S. K. | |
| dc.creator | Lohmann, Andrew Joachim | |
| dc.date.accessioned | 2018-03-01T14:13:02Z | |
| dc.date.available | 2018-03-01T14:13:02Z | |
| dc.date.copyright | 2017-09-26 | |
| dc.date.issued | 2018-03-01 | |
| dc.date.updated | 2018-03-01T14:13:01Z | |
| dc.degree.discipline | Earth & Space Science | |
| dc.degree.level | Master's | |
| dc.degree.name | MSc - Master of Science | |
| dc.description.abstract | This research examines the feasibility of Commercial-off-the-shelf Complementary Metal-Oxide-Semiconductor image sensors for use on nanosatellites as a star imager. An emphasis is placed on method selection and implementation of the star imager algorithm: Centroiding, Identification and Attitude Determination. The star imager algorithm makes use of the Lost-in-Space condition to provide attitude knowledge for each image. Flat Field, Checker Board and Point Spread Function calibration methods were employed to characterize the star imager. Finally, feasibility testing of the star imager is accomplished through simulations and night sky images. | |
| dc.identifier.uri | http://hdl.handle.net/10315/34411 | |
| dc.language.iso | en | |
| dc.rights | Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests. | |
| dc.subject | Aerospace engineering | |
| dc.subject.keywords | Complementary Metal-Oxide-Semiconductor | |
| dc.subject.keywords | Commercial-off-the-shelf | |
| dc.subject.keywords | Star Camera | |
| dc.subject.keywords | Space Science | |
| dc.subject.keywords | Nanosatellites | |
| dc.title | Star Imager For Nanosatellite Applications | |
| dc.type | Electronic Thesis or Dissertation |
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