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提出一种基于主星三角形角度的改进竞选式星图识别算法。为进一步提高竞选式星图识别的抗干扰性,利用三颗星构造识别模式向量;选取视场中一定数量参与计算的星点,计算每三颗星构成的几何三角形中主星顶点角角度,再以其为模式量进行竞选式识别;结合相应数学分析,由于涉及计算维数(计算星点数)更高及数值分布范围更大,以角度为模式量的识别算法具有更强的抗噪声能力和更为稳健的识别精度。仿真试验及结果分析表明了算法的有效性和性能。
This paper proposes an improved algorithm of star-map recognition based on the angle of the main star triangle. In order to further improve the anti-jamming performance of the campaign star chart recognition, the three-star recognition pattern vector is constructed. A certain number of star points in the field of view are chosen to calculate the star point angle of the star in the geometric triangle formed by every three stars Which is used as the model to carry out campaign identification. Combining with the corresponding mathematical analysis, the recognition algorithm with the angle as the model has stronger anti-noise ability due to the higher calculation dimension (calculating the number of stars) and the larger range of the numerical distribution, More robust recognition accuracy. The simulation experiment and result analysis show the effectiveness and performance of the algorithm.