Star sensor navigational star screening method by orthogonal list

Abstract

The invention relates to a star sensor navigational star screening method by an orthogonal list, comprising the following steps of: 1, carrying out star filtering treatment on the original star catalogue of the whole celestial sphere according to the limit star of a star sensor and the like, and confirming the threshold value Nth of star number; 2, setting the number of the residual stars of the star sensor within a current sky area view field as N, if N is less than or equal to Nth, selecting the residual stars as navigational stars, and carrying out step 3, and if N is larger than Nth, cutting and screening the navigational stars within the current sky area view field by a multi-scale image surface; and 3, after screening of the navigational stars of the current sky area view field is completed, transferring the star sensor to the next position, and repeating the step (2) to screen the navigational stars till going through all the celestial sphere. According to the multi-scale image plane cutting and screening method disclosed by the invention, the redundant stars within a star distribution high intensity sky area can be eliminated along with the star number change of different sky areas, all the stars within a low-intensity sky region can be remained, and the screened navigational stars are evenly distributed.

Description

technical field [0001] The invention belongs to the technical field of celestial navigation, and relates to a method for screening navigation stars by a star sensor using a cross-link list. Background technique [0002] The star sensor recognizes the star map, compares the characteristics of the observation star group and the navigation star group, identifies the observation star, determines their coordinates in the body coordinate system and the inertial coordinate system, and then measures the satellite attitude. It is a modern aerospace field. The most accurate satellite attitude measurement instrument. Star map recognition is the core technology of the star sensor. Establishing a navigation star library is an important prerequisite for star map recognition. Reasonable selection of navigation stars can reduce the similarity of navigation star group features, improve star map recognition speed and success rate, and enhance star map recognition. It is of great significance...

AI Technical Summary

Problems solved by technology

In 2000, Li Lihong and others proposed a magnitude weighting method, which assigns different weights to each star according to the magnitude. Stars with low magnitudes have high weights, and stars with high magnitudes have low weights. According to the weights, guide stars are selected. The algorithm is better than the orthogonal grid method, but the algorithm less considers the position of stars, and the uniformity of the distribution of navigation stars needs to be improved

The regression selection algorithm proposed by Zheng Sheng et al. in 2004 is based on the number of observable stars in the field of view, based on the method of support vector machine, to generate a dynamic magnitude threshold, and according to this threshold, observe stars in the field of view in different sky areas to obtain navigation stars , this method can obtain a relatively uniform distribution of navigation stars, but for star sensors with fixed limit magnitudes, the distribution of navigation stars obtained by the regression selection algorithm is still not uniform enough

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