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在利用大气偏振模式进行导航的领域中,太阳空间位置是一个非常重要的导航特征信息,太阳空间位置的获取是导航应用中的一个重要的问题。提出一种基于瑞利大气偏振模式和K-means聚类算法获取太阳空间位置的计算方法。从大气瑞利理论所建立的全天域大气偏振模式出发,根据大气偏振模式中偏振度(DOP)的基本规律对偏振度数据进行K-means聚类分析,将太阳空间位置的求解转换为求解K-means类中心的问题,通过算法仿真实验和实测实验进行验证。实验表明,在晴朗天气条件下同一天不同时刻求解的太阳位置方位角和高度角误差均小于0.01°。算法误差平稳,相对误差可以达到更高的精度,可以有效地利用大气偏振模式解算太阳空间位置。
In the field of using atmospheric polarization mode for navigation, the location of the solar space is a very important navigation feature information. The location of the solar space is an important issue in navigation applications. A calculation method based on Rayleigh atmospheric polarization mode and K-means clustering algorithm to obtain the position of solar space is proposed. Based on the all-day atmospheric polarization model established by atmospheric Rayleigh theory, K-means clustering analysis of the polarization data according to the basic law of degree of polarization (DOP) in the atmospheric polarization mode is used to convert the solution of the solar space position into a solution K-means class center problem, through the algorithm simulation experiment and experimental verification. Experiments show that the azimuth and azimuth errors of the solar position solved at different times on the same day under clear weather conditions are all less than 0.01 °. The error of the algorithm is stable, the relative error can reach a higher accuracy, and the location of the solar space can be solved effectively by using the atmospheric polarization mode.