Aerospace Contrd and Application ›› 2021, Vol. 47 ›› Issue (1): 47-54.doi: 10.3969/j.issn.1674-1579.2021.01.007

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A Space Target Detection Method Based on OPTICS Clustering for AnglesOnly Relative Navigation

  

  • Online:2021-02-25 Published:2021-03-11

Abstract: The relative navigation using only lineofsight (LOS) information has the advantages of simple equipment, low complexity, and low power consumption, and has a wide range of applications in space missions. This paper proposes a space target detection method based on ordering points to identify the clustering structure (OPTICS) clustering in the view of the fact that there are few features of space noncooperative targets during the relative navigation with only angle measurement at medium and long distances. The raw image collected by the star camera is preprocessed to extract star points and target points, and some frames are selected according to the result of star identification. The improved OPTICS clustering method is used to obtain the target trajectory. Finally, to confirm the algorithm's effectiveness, it is used to process the highprecision star map containing the target simulated by the software simulation. The proportion of horizontal and vertical errors less than 0.15 degree is 85.4% and 99.6% during the progressive process. Compared with the target detection method in autonomous vision approach navigation and target identification (AVANTI) experiment, the adjustment of related parameters in the onorbit mission is reduced, and the autonomy of the algorithm is improved.

Key words: only lineofsight navigation, object detection, far range rendezvous, star image

CLC Number: 

  • V52