Please use this identifier to cite or link to this item: http://hdl.handle.net/2248/7088
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dc.contributor.authorMayuresh, Sarpotdar-
dc.contributor.authorMathew, J-
dc.contributor.authorSreejith, A. G-
dc.contributor.authorNirmal, K-
dc.contributor.authorAmbily, S-
dc.contributor.authorPrakash, A-
dc.contributor.authorSafonova, M-
dc.contributor.authorMurthy, J-
dc.date.accessioned2017-02-23T06:57:20Z-
dc.date.available2017-02-23T06:57:20Z-
dc.date.issued2017-02-
dc.identifier.citationExperimental Astronomy, Vol. 43, No. 1, pp. 99-117en_US
dc.identifier.issn1572-9508-
dc.identifier.urihttp://hdl.handle.net/2248/7088-
dc.descriptionRestricted Accessen_US
dc.descriptionThe original publication is available at springerlink.com-
dc.description.abstractWe have developed a low-cost off-the-shelf component star sensor (StarSense) for use in minisatellites and CubeSats to determine the attitude of a satellite in orbit. StarSense is an imaging camera with a limiting magnitude of 6.5, which extracts information from star patterns it records in the images. The star sensor implements a centroiding algorithm to find centroids of the stars in the image, a Geometric Voting algorithm for star pattern identification, and a QUEST algorithm for attitude quaternion calculation. Here, we describe the software package to evaluate the performance of these algorithms as a star sensor single operating system. We simulate the ideal case where sky background and instrument errors are omitted, and a more realistic case where noise and camera parameters are added to the simulated images. We evaluate such performance parameters of the algorithms as attitude accuracy, calculation time, required memory, star catalog size, sky coverage, etc., and estimate the errors introduced by each algorithm. This software package is written for use in MATLAB. The testing is parametrized for different hardware parameters, such as the focal length of the imaging setup, the field of view (FOV) of the camera, angle measurement accuracy, distortion effects, etc., and therefore, can be applied to evaluate the performance of such algorithms in any star sensor. For its hardware implementation on our StarSense, we are currently porting the codes in form of functions written in C. This is done keeping in view its easy implementation on any star sensor electronics hardware.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.urihttp://dx.doi.org/10.1007/s10686-016-9522-1-
dc.rights© Springer-
dc.subjectCubesatsen_US
dc.subjectStar sensoren_US
dc.subjectAttitude control systemen_US
dc.subjectCentroiding algorithmen_US
dc.subjectGeometric voting algorithmen_US
dc.subjectQUEST algorithmen_US
dc.titleA software package for evaluating the performance of a star sensor operationen_US
dc.typeArticleen_US
Appears in Collections:IIAP Publications

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