Simulation Research On Star Image Recognition Based On Scilab/Xcos

When the service aircraft meets and catches the target aircraft,it needs to use a narrow field of view camera to provide information for remote point target recognition,navigation tracking,attitude determination,and so on.The narrow-field-of-view camera can be used as a target aircraft to detect devices with long-distance.It can also be used as a star sensor to supply inertial attitude measurement information for the service aircraft.In this paper,the Scilab/Xcos simulation platform,with the help of the narrow field-of-view camera,simulate the star point images and the star map recognition algorithm to provide attitude information for the service aircraft.The main research contents of this paper are as follows:(1)Simulation of star maps taken by narrow-field cameras.Based on the ESA star catalog,it simulates the star map taken by a narrow-field-of-view camera,researches the mathematical model for analyzing the star to gray scale conversion,the star point gray diffusion model,and analyzes the source of the star map noise.(2)Image Pretreatment.Preprocessing the simulation star map,analyzing the image segmentation method based on the connected domain model,modeling and simulating the four subdivision positioning algorithms,comparing the accuracy of the four subdivision positioning algorithms,and comparing with the MATLAB experiment results.(3)Modeling and simulating the star map recognition algorithm.Building a navigation star table and navigation feature database,studying the star map recognition algorithm and simulating the algorithm.Based on Scilab,the star map recognition algorithm is packaged into a basic function module and integrated into the Xcos toolbox.Comparing the simulationmodeling results and MATLAB experimental results,analyzing these two results.Based on the above research,the design of the star map recognition simulation system under the Scilab/Xcos platform was initially accomplished.In this paper,compared with the experimental results under the same parameter conditions of MATLAB software,the accuracy of star point subdivision positioning and star map recognition proves that the calculation accuracy of the star map recognition simulation model meets the standard and provides reliable service aircraft Inertial attitude measurement information.An improved triangle recognition algorithm is proposed,which effectively improves the algorithm recognition efficiency.