Parametric Processing for Two-Dimensional Digital Sun Sensors: Algorithms, Modelling, and Testing

Enright, John; Li, Chris; Yam, Albert

doi:10.2514/1.32537

Cited by 2 publications

(1 citation statement)

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“…The slit spacing is different for each axis and is a known quantity. From this spacing an expected peak pattern for each axis can be found [Enright et al , 2008]. The known spacing allows a simple if statement to ascertain the orientation of the peaks, the peak to slit matching.…”

Section: Case Determinationmentioning

confidence: 99%

Development and implementation of the linear phase algorithm in a two-dimensional sun-sensor

Yam¹

2021

Preprint

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The sub-pixel peak position estimation performance of the Linear Phase algorithm was enhanced and extended for use with a two-dimensional sensor. The two-dimensional system is composed of orthogonal pairs of slits diffracting light onto a single pixel array. The adaptation of the Linear Phase algorithm into the two-dimensional system was performed by manipulating the sensor image into two one-dimensional images. Performance testing used simulated sensor output and images attained from a real sun-sensor. The Linear Phase algorithm was then implemented into an embedded system to simulate onboard processing. A C8051 microcontroller was used as the embedded microcontroller. Results from the embedded processing were compared against the native Matlab implementation for consistency in sub-pixel peak position estimation performance. The Linear Phase algorithm was able to perform with excellent results, comparable to current two-dimensional sun-sensor algorithms.

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Section: Case Determinationmentioning

confidence: 99%