A software package for evaluating the performance of a star sensor operation
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We 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.
KeywordsCubesats Star sensor Attitude control system Centroiding algorithm Geometric voting algorithm QUEST algorithm
Part of this research has been supported by the Department of Science and Technology (Government of India) under Grant IR/S2/PU-006/2012.
- 2.STAR1000: CMOS Image Sensor, 1 Megapixel, Radiation Tolerant, Retrieved March 11, 2016, from http://www.onsemi.com/PowerSolutions/product.do?id=STAR1000
- 3.Erlank, A.O.: Development of CubeStar A CubeSat-Compatible Star Tracker. Stellenbosch University, Doctoral dissertation (2013)Google Scholar
- 4.Defense-grade Spartan-6Q FPGA Family, Retrieved March 11, 2016, from http://www.xilinx.com/products/silicon-devices/fpga/spartan-6q.html
- 5.MATLAB Release: The MathWorks, Inc., Natick, Massachusetts, United States (2012b)Google Scholar
- 6.Barjatya, Aroh.: Binary search of values in a data vector (http://in.mathworks.com/matlabcentral/fileexchange/7552-binary-search), MATLAB Central File Exchange. Retrieved August, 02 2016 (2005)
- 8.Markley, F.L., Mortari, D.: How to estimate attitude from vector observations, Advances in the Astronautical Sciences, 103(PART III) (1979)Google Scholar
- 10.Shuster, M.D., Oh, S.: Three-axis attitude determination from vector observations. J. Guid. Control 4(1) (1981)Google Scholar
- 11.Wahba, G.: Problem 65-1, a least squares estimate of satellite attitude. Society for Industrial and Applied Mathematics, pp. 385–386 (1966)Google Scholar
- 12.Sarpotdar, M.: starsense_algorithms, Retrieved August 01 2016, from https://github.com/mayuresh159/starsense_algorithms (2016)