TY - GEN
T1 - Novel star identification algorithm utilizing images of two star trackers
AU - Ho, Koki
AU - Nakasuka, Shinichi
PY - 2010/6/2
Y1 - 2010/6/2
N2 - This paper investigates a star identification algorithm to improve the performance of especially a micro star tracker whose Field-of-view (FOV) is small. This algorithm is characterized by combining the images from two star trackers to identify the stars, rather than identifying the stars in each image separately. To improve the success ratio of star identification and attitude estimation accuracy, some novel ideas are added to the algorithm, such as the sequence of the algorithm based on both the FOVs and the mitigation of the problem of misalignments. By simulation results, the feasibility of that algorithm is evaluated.
AB - This paper investigates a star identification algorithm to improve the performance of especially a micro star tracker whose Field-of-view (FOV) is small. This algorithm is characterized by combining the images from two star trackers to identify the stars, rather than identifying the stars in each image separately. To improve the success ratio of star identification and attitude estimation accuracy, some novel ideas are added to the algorithm, such as the sequence of the algorithm based on both the FOVs and the mitigation of the problem of misalignments. By simulation results, the feasibility of that algorithm is evaluated.
UR - http://www.scopus.com/inward/record.url?scp=77952835277&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77952835277&partnerID=8YFLogxK
U2 - 10.1109/AERO.2010.5446729
DO - 10.1109/AERO.2010.5446729
M3 - Conference contribution
AN - SCOPUS:77952835277
SN - 9781424438884
T3 - IEEE Aerospace Conference Proceedings
BT - 2010 IEEE Aerospace Conference Proceedings
T2 - 2010 IEEE Aerospace Conference
Y2 - 6 March 2010 through 13 March 2010
ER -