Autonomous star map identification method based on dimensionality reduction star catalogue

An identification method and star map identification technology, applied in the field of astronomical navigation, can solve the problems of large storage space, long operation time, and complicated calculation of the navigation star database, and achieve the goal of reducing the capacity of star catalogues, small capacity of star catalogues, and high recognition rate. Effect

Active Publication Date: 2020-01-21
BEIJING AEROSPACE AUTOMATIC CONTROL RES INST
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AI Technical Summary

Problems solved by technology

[0005] In short, there are three main problems in the current autonomous star map recognition algorithm: ① When the measurement noise changes, the robustness is poor; ② The storage space occupied by the navigation star library is large; ③ The calculation is complicated and the operation time is long

Method used

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  • Autonomous star map identification method based on dimensionality reduction star catalogue
  • Autonomous star map identification method based on dimensionality reduction star catalogue
  • Autonomous star map identification method based on dimensionality reduction star catalogue

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Experimental program
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Embodiment Construction

[0031] 1. Establish the observation star feature vector

[0032] Select the observation star o closest to the center of the field of view, and the nearest neighbor star a to the observation star o. Calculate the distance from other observed stars to the observed star o, take the observed star oa as the starting edge, calculate the geometric angle between other observed stars and oa with the star o as the vertex (according to the same rotation direction). Obtain the angular distance of each observation star from the observation star o and the angle of the distance oa to form a set of vectors (l 1 ,θ 1 ),(l 2 ,θ 2 ),…(l n ,θ n ). Calculate (l 1 ,θ 1 ),(l 2 ,θ 2 ),…(l n ,θ n ) projection distance d on l=θ 1 , d 2 ,... d n .

[0033] star distance l 1 and θ 1 For example, the calculation method is as follows:

[0034]

[0035]

[0036] and,

[0037]

[0038] (l 1 ,θ 1 ) projection distance d on l=θ 1 The calculation method is

[0039]

[0040] 2...

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Abstract

The invention discloses an autonomous star map identification method based on a dimensionality reduction star catalogue. Eigenvectors of an observation star is established, the star catalogue is established and matched, the eigenvectors of the observation star o are compared with eigenvectors of a navigation star one by one, and features of the navigation star are successfully matched with elements in the eigenvectors when the quantity of the successfully matched elements in the eigenvectors is maximum and is greater than a certain threshold; and if matching fails, a star which is next nearestto the observation star o is selected as an inter-star geometric angle calculation reference, and the eigenvectors of the observation star are obtained again and then are matched with eigenvectors inthe star catalogue.

Description

technical field [0001] The invention belongs to the technical field of celestial navigation, in particular to an autonomous star map recognition method based on dimensionality reduction star catalogs. Background technique [0002] The star sensor is a kind of high-precision astronomical navigation equipment, which has the advantages of high precision of attitude determination, strong autonomy and high reliability, and has been widely used in aerospace vehicles. Autonomous star map recognition is the key technology for star sensors to achieve autonomous attitude determination. Since the appearance of star sensors, autonomous star map recognition methods have been continuously studied. [0003] Autonomous star map recognition is to use the star information taken by the star sensor to identify stars in the all-sky area star catalog and determine the position of the stars in the inertial system. Therefore, the recognition can be completed without any attitude information. The ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/02G01C21/20G01C21/24
CPCG01C21/025G01C21/20G01C21/24
Inventor 踪华李冰翟雯婧姬晓琴
Owner BEIJING AEROSPACE AUTOMATIC CONTROL RES INST
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