Star image point position extracting method for star sensor

A technology of star sensor and extraction method, used in astronomical navigation, integrated navigator and other directions
CN101907463AInactive Publication Date: 2010-12-08NAT UNIV OF DEFENSE TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NAT UNIV OF DEFENSE TECH
Publication Date
2010-12-08
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a star image point position extracting method for a star sensor. The method comprises the following steps of: forecasting a star image point position in a current star map according to a star image point position in a star map of a previous frame and an instantaneous speed; acquiring a measured value of the star image point position by adopting a facet-based star image point position extracting method; and finally, constructing a Kalman filter by using a forecasting value and the measured value of the star image point position as inputs, and acquiring a final star image point position. The star image point position in the current star map is forecasted by using the star image point position in the star map of the previous frame and the instantaneous speed so as to effectively improve the start extracting speed; the star image point position is updated by using the Kalman filter so as to effectively reduce random noise and further improve the measurement precision; and the measurement precision of the method can be improved by 2.4 times compared with a traditional method.
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Description

technical field

[0001] The invention relates to a method for extracting the position of a star image point in a star map of a star sensor in the field of aerospace measurement; in particular, it relates to a method for extracting the position of a star image point of a star sensor based on a Kalman filter. Background technique

[0002] There are existing methods for extracting star image points, such as centroid method, surface fitting method, neural network method and so on. They all directly use the results calculated by sub-pixel technology as the final star image point position, and no effective suppression measures are taken for the random noise of sub-pixel technology positioning. Therefore, although the systematic error of star image point position extraction can be eliminated through algorithm improvement, calibration and other methods, the random noise has not been well resolved so far. In addition, star image point position extraction is one of the most time-consu...

Claims

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