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Star map recognition method for micro satellites

A technology of star map identification and micro-satellite, which is applied in navigation, instrumentation, surveying and navigation, etc., can solve problems such as complex design methods and stoppages, and achieve the effect of optimizing design, optimizing design, and reducing power consumption

Inactive Publication Date: 2019-08-23
ZHEJIANG UNIV
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Problems solved by technology

The recognition accuracy and speed of this method are relatively good, but the design method is more complicated. Different star patterns need to construct different navigation star databases, which need to be adapted to different situations.
Neural network algorithm is a relatively popular star map recognition method recently. It realizes star map recognition by designing a neural network, but at present, this method only stays in the algorithm simulation verification stage, because its implementation requires a lot of computing resources and data resources. , which is difficult to meet on microsatellites, so further development is needed

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  • Star map recognition method for micro satellites
  • Star map recognition method for micro satellites

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Embodiment Construction

[0057] The present invention will be further described in detail below in conjunction with the accompanying drawings. The invention proposes a star map recognition method for micro-satellites. In the present invention, the parameters of the star sensor are set as follows: the size of the field of view is 14 ° × 11.3 °, the size of the CMOS array is 1280 × 1024 pixels, and the size of a single pixel is 6.7 μm. According to the main distance and the angle of view and The relationship between the area array, the main distance is 35mm, and the parameters such as the main point and distortion are set to 0.

[0058] Concrete steps of the present invention are as follows:

[0059] Step 1: star map filtering;

[0060] Depend on figure 1 It can be seen that the input of this star map recognition algorithm is the original star map collected by the front end of the star sensor, and the original star map needs to go through a 3*3 size linear mean filter template to achieve smooth noise...

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Abstract

The invention discloses a star map recognition method for micro satellites, which mainly comprises the following steps: firstly, the original star map collected by the front end of a star sensor is filtered to remove noise embedded in the star map; the filtered star map is segmented to separate the foreground (ie, the star point) of the star map from the background for subsequent feature extraction; feature extraction is performed on the segmented star map, and the feature extraction is performed on the star map by using a master-slave star pattern; and the extracted star point features are matched with the star point features in a navigation database prepared in advance, and the label information of the master star in the star map and the right ascension and declination information are obtained, thereby completing attitude calculation of the satellite. The star map recognition method for the star sensor in the micro satellite has the advantages of simple operation, high recognition precision, quick recognition speed and the like, is extremely suitable for being applied to an embedded device, and meets the demand and the trend of miniaturization of micro satellite components.

Description

technical field [0001] The invention belongs to the field of sensor attitude measurement, in particular to a star map recognition system and method based on a master-slave star mode, which is applied to a star sensor for attitude determination. Background technique [0002] The star sensor is the part with the highest precision in attitude measurement of micro-satellites, and its internal star map recognition algorithm is particularly important. With the continuous development of micro-satellites, it is urgent to propose a star map recognition algorithm suitable for the miniaturization of micro-satellites. In order to meet the miniaturization requirements of microsatellites. [0003] Common star map recognition algorithms mainly include triangle algorithm, star pattern algorithm and neural network algorithm. The biggest feature of the triangle algorithm is that it is simple to implement, but because it needs to construct a huge triangle navigation star database, it is nece...

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Application Information

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IPC IPC(8): G01C21/02
CPCG01C21/025
Inventor 沙鑫宽王昊金仲和
Owner ZHEJIANG UNIV
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