This paper deals with a fast and efficient Lost in Space algorithm for stars pattern recognition in harsh environments using star trackers. Typically, the attitude determination system for CubeSats is based on low accuracy instruments such as sun sensors and magnetometers. However, it is expected that next CubeSat generations will require more accurate attitude estimations provided by stars sensors. False spikes represent the major issue in star identification since star trackers for CubeSat generally have low radiation shielding. The proposed technique is based on the Multi-Poles Algorithm approach. Stars are identified in two phases: 1) the acceptance phase, to yield a set of stars, and 2) the check phase, to avoid erroneous identification. The identification feature is the angular distance between two stars while stars magnitudes are used as a filtering feature to improve the searching strategy. Tests have shown that the algorithm guarantees a reliable identification of stars up to 80 artifacts per image.

Efficient star identification algorithm for nanosatellites in harsh environment / Schiattarella, Vincenzo; Spiller, Dario; Curti, Fabio. - STAMPA. - 163:(2018), pp. 287-306. (Intervento presentato al convegno 4th IAA Conference on university satellite missions and cubesat workshop tenutosi a Roma; Italy).

Efficient star identification algorithm for nanosatellites in harsh environment

Vincenzo Schiattarella
;
dario Spiller;Fabio Curti
2018

Abstract

This paper deals with a fast and efficient Lost in Space algorithm for stars pattern recognition in harsh environments using star trackers. Typically, the attitude determination system for CubeSats is based on low accuracy instruments such as sun sensors and magnetometers. However, it is expected that next CubeSat generations will require more accurate attitude estimations provided by stars sensors. False spikes represent the major issue in star identification since star trackers for CubeSat generally have low radiation shielding. The proposed technique is based on the Multi-Poles Algorithm approach. Stars are identified in two phases: 1) the acceptance phase, to yield a set of stars, and 2) the check phase, to avoid erroneous identification. The identification feature is the angular distance between two stars while stars magnitudes are used as a filtering feature to improve the searching strategy. Tests have shown that the algorithm guarantees a reliable identification of stars up to 80 artifacts per image.
2018
4th IAA Conference on university satellite missions and cubesat workshop
space engineering; space systems; star tracker; lost in space; attitude determination; harsh environment; robust pattern recognition
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Efficient star identification algorithm for nanosatellites in harsh environment / Schiattarella, Vincenzo; Spiller, Dario; Curti, Fabio. - STAMPA. - 163:(2018), pp. 287-306. (Intervento presentato al convegno 4th IAA Conference on university satellite missions and cubesat workshop tenutosi a Roma; Italy).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1302160
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