In this paper, an improved triangle star pattern recognition algorithm is proposed. There are two improvements in the
algorithm compared with the classic triangle algorithm. Firstly, the adjacent measured stars in field of view are
eliminated and the remaining measured stars are used to build candidate measured star triangles. So high attitude
determination precision is obtained if a triangle is chosen from candidate measured star triangles to identify the three
stars. Secondly, in the candidate measured star triangles, the triangle which has great difference in three angular
distances is chosen as the measured star triangle waiting for identification, so as to mismatch between it and every guide
star triangle due to angular distance match can be avoided. In the case of a certain position and magnitude error limit,
simulation results indicate that the identification probability of this algorithm is much higher than that of the classic
triangle algorithm, and is also higher than that of the triangle algorithm based on the star pattern of two angular distances
and their angle. So the algorithm introduced in this paper can enhance the reliability of attitude determination of star
trackers.
In order to research on the algorithms and the error identity of star guidance, the emulator of star guidance is presented,
which is a sub system of new integration navigation emulator based on RT-LAB. In this paper, a method of modeling
star guidance emluator is presented; it makes use of the Embedded MATLAB Function of Simulink. With this modeling
method, high efficiency of modeling, good readability and easy maintenance are obtained. Many other modeling
methods are not supported by RT-LAB, because the real-time code is not available. The simulation results show that the
proposed method of modeling is right; the emulator of star guidance can be compiled and translated into real-time code
by MATLAB, which can be supported by RT-LAB.
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