Improved star map identification algorithm based on Hausdorff distance

To solve two problems that the identification algorithm based on Hausdorff distance have the slow recognition speed and being very sensitive for the rotation of lens of star sensor, an improved star map identification algorithm based on Hausdorff distance was proposed. In this method, vector distance was combined with scalar distance. The information of star dimensional configuration was used, and a matching model of vector distance was constructed. According to the rotation peculiarity of lens, a anti-rotation model of scalar distance was set up, the weighted factor was ascertained by testing and researching the two models, right matching and recognizing threshold was chose, and the final optimum performance of recognition was achieved. The simulation results show that it improved algorithm not only had good identification rate and strong anti-noise characteristic of original algorithm but also had better recognition speed and good anti-rotation characteristic. It was used successfully in the actual projects.