2021
DOI: 10.3390/s21030907
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Universal Verification Platform and Star Simulator for Fast Star Tracker Design

Abstract: Developing star trackers quickly is non-trivial. Achieving reproducible results and comparing different algorithms are also open problems. In this sense, this work proposes the use of synthetic star images (a simulated sky), allied with the standardized structure of the Universal Verification Methodology as the base of a design approach. The aim is to organize the project, speed up the development time by providing a standard verification methodology. Future rework is reduced through two methods: a verificatio… Show more

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Cited by 8 publications
(4 citation statements)
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References 37 publications
(69 reference statements)
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“…The attitude of the vehicle can be represented by quaternions [15] and Euler angles. Due to the high complexity of the FPGA's computing trigonometric functions, this paper uses quaternions to represent the attitude of the vehicle.…”
Section: Gnss Search and Coordinate Transformationmentioning
confidence: 99%
See 1 more Smart Citation
“…The attitude of the vehicle can be represented by quaternions [15] and Euler angles. Due to the high complexity of the FPGA's computing trigonometric functions, this paper uses quaternions to represent the attitude of the vehicle.…”
Section: Gnss Search and Coordinate Transformationmentioning
confidence: 99%
“…The star point in a star chart is not a uniformly distributed bright spot; it is a bright spot that approximates a diffuse spot. The energy of the bright spot becomes a two-dimensional Gaussian distribution, which is expressed as follows in Equation (15).…”
Section: Star-point Diffuse Spot Generationmentioning
confidence: 99%
“…After the star is projected onto the image plane of the star tracker, it goes through a series of workflows: centroid extraction, star identification from a star catalog, and attitude determination [ 4 ]. For precise attitude determination, the extracted center position of the star from the image must be accurate [ 5 ].…”
Section: Introductionmentioning
confidence: 99%
“…At present, most SNN algorithm research is based on PC platforms, but there is still a lack of efficient SNN simulators [15]. Most of the existing computing frameworks have some problems, such as invalid calculation, large empty load, and limited accuracy.…”
Section: Introductionmentioning
confidence: 99%