Data optimization processing method for star sensor

Abstract

The invention provides a data optimization processing method for a star sensor, and belongs to the technical field of a data optimization processing method. The method can be used for treating data measured by a star sensor and improving the stability and precision of the output attitude of the star sensor. The method mainly used for improved transition, extraction, interpolation and filtration of data measured by the star sensor, optimization processing of data output by the star sensor through a wavelet analysis method using Allan variance fusion, and improvement of the stability and precision of the output attitude of the star sensor. The method has main advantages that: 1) outliers can be accurately removed, and the error redundancy is improved; 2) the low-frequency tendency is smoothed and eliminated and the anti-interference performance is improved; 3) data is kept continuous and evenly spaced, and the stability of the output attitude is improved; 4) noise of internal work and observation environment is inhibited, and the signal-to-noise ratio is effectively increased; and 5) the precision of the output attitude information of the star sensor is improved.

Description

technical field [0001] The invention relates to a star sensor data optimization processing method, which belongs to the technical field of data optimization processing methods. Background technique [0002] As one of many navigation methods, the star sensor can provide attitude information without accumulative error. The star sensor has the characteristics of large field of view and high dynamics, flexible working mode, small size, light weight, strong autonomy, excellent portability, and can adapt to various loading needs. The star sensor can capture, extract and identify stars with higher magnitudes to realize the construction of complex starry sky galaxies, and the output attitude information based on the inertial system can achieve no cumulative error in attitude. The star sensor can be integrated with the inertial navigation system to realize an advanced integrated navigation system, providing higher-precision attitude and position information for the carrier, and meet...

AI Technical Summary

Problems solved by technology

[0003] The star sensor does not have the error accumulation problem introduced by the working mode of the inertial navigation system in the whole navigation process, but the star sensor will still be affected by the following problems, and thus cannot meet the high precision requirements of the navigation task: 1) The star sensor The output attitude includes the electrical noise introduced by the electromagnetic signal, the bias noise introduced by the image center shift of the system image plane, and the calculation noise brought by the restoration of the star image; 2) The star sensor is affected by the atmospheric density, starlight refraction and The effects of earth nutation and precession will produce low-frequency harmonic components; 3) The measurement information of the star sensor will cause output attitude errors due to special reasons such as star image loss, star image induction, and external impact

The above problems will cause a single measurement error of the star sensor, and there is no corresponding and comprehensive method for optimal processing of star sensor data.

[0004] At present, in the implementation of actual navigation tasks, the influence of the above-mentioned single measurement error problem on the attitude information output by the star sensor is not considered, and the output data of the star sensor is not preprocessed and directly introduced into the navigation system for corresponding navigation calculations