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Star pattern recognition method based on principal component analysis of plane triangles

A principal component analysis, star map recognition technology, applied in the direction of integrated navigator, can solve the problems of poor noise robustness, harsh triangle construction, redundant matching and other problems, to speed up the search speed, reduce the recognition time, robustness strong effect

Inactive Publication Date: 2013-12-18
BEIHANG UNIV
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Problems solved by technology

[0005] The invention overcomes the deficiencies of the prior art and solves the problems of many redundant matches, harsh construction of observation triangles and poor robustness to noise in the traditional triangle star map recognition method

Method used

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  • Star pattern recognition method based on principal component analysis of plane triangles
  • Star pattern recognition method based on principal component analysis of plane triangles
  • Star pattern recognition method based on principal component analysis of plane triangles

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Embodiment

[0055] The plane triangle recognition method proposed by the invention significantly improves the recognition rate of the observed triangles. As shown in Figure 5, the star map recognition method of the present invention and the traditional triangle recognition method are used to identify 1000 simulated star maps randomly generated, and the recognition rates of the two recognition methods under position noise and magnitude noise are counted. When performing star map identification, both methods are based on the following conditions: the field of view of the star sensor is 10°X10°, the resolution is 1024X1024, the pixel size is 12μm×12μm, and the focal length of the optical system is 58.1536mm. The maximum magnitude that the star sensor can be sensitive to is 6.0, and the number of stars in the field of view is not less than 5. Curve 1 in Fig. 5 is the recognition rate curve of this recognition algorithm, and curve 2 is the traditional triangle recognition rate curve, from Fi...

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Abstract

The invention belongs to the field of autonomous navigation, guidance and control of spacecrafts, and provides a star pattern recognition method based on plane triangles. The method comprises the following steps: firstly, establishing a navigation star database, specifically, constructing characteristic plane triangles, carrying out principal component analysis on all matrixes formed by the characteristic plane triangles, calculating projection values of the characteristic plane triangles in the direction of intrinsic axis, and sequencing the projection values; then, constructing observation plane triangles; and finally, searching for characteristic triangles matched with the observation plane triangles in the navigation star database by means of a K-vector searching method, and getting rid of redundancy match by means of least square errors to determine the final matched triangles. The star pattern recognition method based on the plane triangles provided by the invention overcomes the defects that the poor noise robustness is poor, more redundancy matches exist and the identification rate is low in conventional triangle identifying methods. The retrieval of the navigation star database is accelerated, the redundancy matches are eliminated, the recognition rate is increased, and the noise robustness is good.

Description

technical field [0001] The invention relates to a star map recognition method based on plane triangle principal component analysis, which can be used in the fields of autonomous navigation, guidance and control of spacecraft. Background technique [0002] The star sensor is an important part of the spacecraft navigation system. The core algorithm of the star sensor is the star map recognition method. Through the star map recognition, the attitude of the spacecraft can be quickly determined. Therefore, it is necessary to study a fast, high-accuracy The all-celestial autonomous star map recognition method has very positive practical significance. [0003] Liebe was the first to study the triangle star map recognition method. He stored the characteristic triangle formed by the navigation star, and compared the three-pair angular distance between the characteristic triangle and the observation triangle. If the error corresponding to the three-pair angular distance is within a se...

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Application Information

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IPC IPC(8): G01C21/24
Inventor 周富强叶涛赵婧鑫陈黎鹏
Owner BEIHANG UNIV
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