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。

A modified voting star recognition algorithm with main star triangle angular determination scheme was proposed. For better robust performance, mode vector can be generated with three stars in the new star recognition algorithm. After the selection of stars according to certain rule, the angle at the star to be recognized in the triangle that is composed of every selected star triplet was calculated, and then act as mode vector for voting recognition. Because of higher dimension in generation and wider volume distribution, the algorithm could provide better anti-noising capacity and performance in recognition success rate. Simulation and result analysis proves the effectiveness and certain value of algorithm.