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Star map recognition method based on angle pattern cluster voting and not relying on calibration parameters

A star map recognition and calibration parameter technology, applied in the field of star map recognition, can solve the problem of inaccurate parameters and achieve strong robustness

Active Publication Date: 2019-05-28
BEIHANG UNIV
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Problems solved by technology

[0005] In order to solve the problem of star map recognition when the internal parameters of the star sensor are inaccurate or unknown, the present invention provides a star map recognition method based on angular mode cluster voting that does not depend on calibration parameters, and can complete star map recognition when the calibration parameters are unknown. image recognition, and obtain a higher correct recognition rate in the case of larger star point position noise and magnitude noise

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  • Star map recognition method based on angle pattern cluster voting and not relying on calibration parameters
  • Star map recognition method based on angle pattern cluster voting and not relying on calibration parameters
  • Star map recognition method based on angle pattern cluster voting and not relying on calibration parameters

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[0044] The present invention will be described in further detail below.

[0045] The main idea of ​​the present invention is: the deviation of the included angle value θ between the angle mode in the normalized focal plane and the corresponding angle mode in the star map and the ratio value λ on both sides is controllable, so that the star sensor calibration parameters can be Complete the star map recognition under the condition of; through the construction of angular pattern clusters to increase the difference between patterns, reduce the number of redundant patterns, and then improve the accuracy of recognition; the storage of angular patterns adopts a two-dimensional lookup table, which improves Matching efficiency; since in the angular pattern cluster, each angular pattern is composed of the main star as the vertex, the frequency of the main star in the entire angular pattern cluster is the highest and is the easiest to be identified, so the voting method is used to determi...

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Abstract

The invention discloses a star map recognition method based on angle pattern cluster voting and not relying on calibration parameters. The method comprises the steps that the angle pattern cluster characteristics of navigation stars are extracted to establish a navigation star pattern library; according to geometric positions of observation stars in a star map, the angle pattern cluster characteristics of the observation stars are extracted; according to the angle pattern cluster characteristics of the observation stars, matching recognition is carried out on the observation stars by using a voting method; finally, through a verification link, the correctness of recognition results is further confirmed. The method has the advantages that the star map recognition can be completed under thesituation of unknown calibration parameters of a star sensor, and the higher recognition rate can be obtained under the situations of larger star point position noise, stars and other noise.

Description

technical field [0001] The invention relates to the field of star map recognition in star sensors, in particular to a star map recognition method based on angular pattern cluster voting that does not depend on calibration parameters. Background technique [0002] The star sensor is an important attitude measurement device. It determines the three-axis attitude by identifying the stars in the star map. The accuracy can reach the arc-second level. It has been widely used in space probes. Among them, star map recognition is the key technology in the star sensor. [0003] The existing star map recognition algorithms can be roughly divided into two categories: subgraph isomorphism and pattern recognition. Subgraph isomorphism algorithm A subgraph is formed with the star point as the vertex and the angular distance between two stars as the side, and the observation star is identified by identifying the subgraph, such as triangle algorithm and polygon algorithm. The pattern recog...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/02G01C21/20
Inventor 魏新国代保铭王刚毅李健张广军
Owner BEIHANG UNIV
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