All-sky triangle algorithm for star pattern identification aided by star coordinates

被引：0
|
作者：
Zong H. [1 ,2 ]
Liu Y. [3 ]
Gao X. [2 ]
Xiong P. [4 ]
机构：
[1] National Key Laboratory of Science and Technology on Aerospace Intelligent Control, Beijing
[2] Beijing Aerospace Automatic Control Institute, Beijing
[3] China Academy of Launch Vehicle Technology, Beijing
[4] National Defense Science and Technology Industry Bureau, Beijing
来源：
Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | 2018年 / 39卷 / 09期
关键词：
Angular distance matching; Coordinates matching; Nonlinear vector; Star identification; Star sensor;
D O I：
10.7527/S1000-6893.2018.22045
中图分类号：
学科分类号：
摘要：
With the increase of the Field of View (FOV) and detection ability of the-state-of-the-art star sensors, more stars can be imaged in one frame of the star sensor. However, due to the limitation of the spectrum range of the star sensor and the influence of space environment, the measuring accuracy of star magnitude is generally not higher than 0.2 mV. In this paper, an all-sky triangle algorithm aided by star coordinates is presented to take full advantage of the FOV and detection capability of the star sensor, avoid the influence of the magnitude error, and also improve applicability of online application of all-sky star identification. The algorithm adopts the idea of "global preliminary recognition-local fine matching-selection of the best result". First, a navigation star catalog is constructed by all the stars that can be detected by the star sensor and bright stars are selected to construct the pair catalogue, which not only ensures the completeness of the star catalog, but also makes full use of the detection ability. Then, star angular distance matching is carried out under the triangle constraint condition, obtaining one or more navigation triangles. To improve the matching speed, a nonlinear vector algorithm is proposed to look up the pair catalogue, which not only improves the positioning accuracy, but also reduces the storage space by using the single-precision data type. Finally, a algorithm for matching the star coordinates in the local sky is proposed to further eliminate redundant matching and identify more stars in the FOV, which is beneficial to improving the recognition rate and accuracy of attitude. The experimental results show that the algorithm presented in this paper has advantages over other classical identification algorithms in catalog volume and recognition rate, with the recognition rate reaching 99.9%, and catalog volume having the least increase with the increase of the magnitude. The proposed algorithm is more applicable for online application of the star sensors with wide FOV and high magnitude. © 2018, Press of Chinese Journal of Aeronautics. All right reserved.
引用
收藏
相关论文
共 20 条
  • [1] Katake A., Bruccoleri C., StarCam SG100: A high-update rate, high-sensitivity stellar gyroscope for spacecraft, Sensors, Cameras, and Systems for Industrial/Scientific Applications XI, pp. 1-10, (2010)
  • [2] Salomon P.M., Goss W.C., A microprocessor controlled CCD star tracker, AIAA 14th Aerospace Sciences Meeting, pp. 26-28, (1976)
  • [3] Gottlieb D.M., Star identification techniques, Spacecraft Attitude Determination and Control, pp. 259-266, (1978)
  • [4] Junkins J.L., White C., Turner J., Star pattern recognition for real-time attitude determination, Journal of the Astronautical Sciences, 25, pp. 251-270, (1977)
  • [5] Van Bezooijen R.W.H., Success potential of automated star pattern recognition, AIAA 24th Aerospace Sciences Meeting, pp. 6-9, (1986)
  • [6] Liebe C.C., Star trackers for attitude determination, IEEE Aerospace and Electronic Systems Magazine, 10, 6, pp. 10-16, (1995)
  • [7] Quine B.M., Durrant-Whyte H.F., A fast autonomous star-acquisition algorithm for spacecraft, Control Engineering Practice, 4, 12, pp. 1735-1740, (1996)
  • [8] Padgett C., Kreutz-Delgado K., A grid algorithm for autonomous star identification, IEEE Transactions on Aerospace and Electronics Systems, 33, 1, pp. 202-213, (1997)
  • [9] Mortari D., Neta B., K-vector range searching techniques, The 10th Annual AIAA/AAS Space Flights Mechanics Meeting, pp. 449-463, (2000)
  • [10] Hashmall J.A., Star identification using a triplet algorithm, 54th International Astronautical Congress of the International Astronautical Federation (IAF), pp. 1-11, (2003)
12