An error-suppressed star-point centroid location method

Abstract

The invention relates to a star point positioning method, in particular to an error-suppressed star point centroid positioning method, which effectively suppresses the systematic error and random error of the centroid method star point positioning. The present invention combines the advantages of two types of centroid positioning methods, the centroid method and the surface fitting method, and uses cubic spline fitting to process the gray scale of the star point window image, increases its smoothness, and suppresses the influence of random noise; adopts the algorithm defocus, Without reducing the signal-to-noise ratio of the system, the interpolation algorithm is used to expand the diffuse area of ​​the spot, and the image space sampling frequency is increased to suppress the influence of the system error. This method effectively suppresses the positioning error, and it combines the advantages of the two centroid positioning methods, the centroid method and the surface fitting method, and has good noise resistance and high positioning accuracy.

Description

technical field [0001] The invention relates to a star point positioning method, in particular to a star point centroid positioning method with error suppression. Background technique [0002] Star point detection is an important part of optical system index measurement. The positioning accuracy of the centroid of the star point image directly affects the debugging and detection of the optical system indicators. In the star sensor, the location of the center of mass of the star point image is particularly important, and its accuracy determines the accuracy of the attitude measurement of the star sensor. Star point image centroid positioning has extensive and important application value in the detection and use of optical instruments. [0003] Commonly used star point image centroid positioning algorithms can be divided into two categories: one is three-dimensional surface fitting algorithms such as Gaussian surface fitting method and parabolic surface fitting method. The ...

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Problems solved by technology

[0004] Aiming at the problem that the surface fitting algorithm is relatively complicated in the existing star point centroid positioning calculation, and the centroid method is easily disturbed by systematic errors and random errors, the present invention proposes an error-suppressed star point centroid positioning method, which combines the centroid method and curved surface The advantages of the fitting algorithm, starting from the principle of suppressing errors, do not rely on a specific star point imaging model to perform cubic spline fitting to suppress random errors, use cubic spline interpolation to realize algorithm defocus suppression system errors, and suppression of overall positioning errors to improve positioning accuracy

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