Title :
A grid algorithm for autonomous star identification
Author :
Padgett, Curtis ; Kreutz-Delgado, Kenneth
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Abstract :
An autonomous star identification algorithm is described that is simple and requires less computer resources than other such algorithms. In simulations using an 8×8 degree field of view (FOV), the algorithm identifies the correct section of sky on 99.7% of the sensor orientations where spatial accuracy of the imaged star is 1 pixel (56.25 arc seconds) in standard deviation and the apparent brightness deviates by 0.4 units stellar magnitude. This compares very favorably with other algorithms in the literature.
Keywords :
aerospace computing; astronomy computing; attitude control; identification; pattern matching; apparent brightness; autonomous star identification; computer resources; correct section; field of view; grid algorithm; sensor orientations; simulations; spatial accuracy; stellar magnitude; Brightness; Image sensors; Laboratories; Position measurement; Probes; Propulsion; Sensor phenomena and characterization; Sensor systems; Space technology; Space vehicles;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
