Optimal selection method of navigational stars of star map simulator based on star density

Abstract

The invention discloses an optimal selection method of navigational stars of a star map simulator based on star density. The optimal selection method comprises the following steps: firstly, processing a star catalogue, extracting effective data fields, carrying out related data processing to obtain six pieces of data corresponding to each fixed star, and then performing proper motion, precession and nutation correction on extracted right ascension and declination values respectively; secondly, according to given optical axis orientation and the size of a field range, extracting fixed stars in the field range and establishing an observational star database; thirdly, on the basis of the observational star database, performing image surface partition and star density calculation respectively by use of an ITSI (Information Technology System Infrastructure) optimal selection method of the navigational stars, and satisfying a set navigational star threshold, and finally realizing the optimal selection of the navigational stars and establishing a navigational star database. The method is relatively simple, but the navigational star database obtained by use of the method is relatively low in standard deviation and relatively even in distribution, and both efficiency and effect are achieved; the established navigational star database is reasonable and significant for smooth implementation of star map matching.

Description

technical field [0001] The invention belongs to the technical field of positioning navigation and control, in particular to the field of autonomous navigation star sensors. Background technique [0002] Autonomous navigation star sensor is a hotspot in star sensor research. In the development process of the autonomous star sensor, the performance of the star map simulator used to test the performance of the star sensor is very important, and its performance directly affects the quality of the autonomous star sensor. The selection of navigation stars is an important step in star map simulation and the premise of effective star map identification, mainly to achieve uniform distribution of navigation stars and reduce the redundancy of navigation star library. The traditional navigation star optimization method of star map simulator, when the field of view is large, the redundancy of navigation stars is also large. [0003] At present, there are mainly two types of methods tha...

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Problems solved by technology

At the same time, the standard deviation of the navigation star database obtained by this method is the smallest, and the distribution is the most uniform, which is superior to some existing methods, such as self-organization method, regression method, magnitude weighting method, etc., but the method processing is relatively complicated

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