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地球辐射带中的高能带电粒子是引起航天器材料和器件性能退化甚至失效的主要空间环境因素.因此,航天器设计中所采用的辐射带模型的准确程度对于航天器的生存能力和航天任务的完成质量至关重要.在利用我国自主辐射带高能粒子探测数据进行的辐射带建模中,探测数据的空间网格化是一项非常重要的工作.介绍了我国辐射带探测数据的情况,以及辐射带建模的方法和步骤;重点研究了不同插值方法在低地球轨道(LEO)空间辐射带建模数据网格化中的应用,并开展了误差分析.研究结果表明:在各种常用的插值方法中,反距离加权法、自然邻点法和最近邻点法适合工程化应用.其中,反距离加权法生成的数据网格对粒子通量的反演结果精度最高,该方法采用低阶距离时得到的反演结果更为合理.
The high-energy charged particles in the Earth’s radiation belt are the main space environmental factors that cause the performance degradation and even failure of the spacecraft materials and devices. Therefore, the accuracy of the radiation model used in the spacecraft design is very important for the survivability of the spacecraft and the space mission It is very important to complete the quality.Using the radiation model of China’s autonomous radiation with high-energy particle detection data, the spatial gridding of the exploration data is a very important task.This paper introduces the situation of the radiation detection data in our country, The methods and steps of the modeling of the radiation zone are studied.The application of different interpolation methods in the gridding of the modeling data of LEO space radiation band is focused and the error analysis is carried out.The results show that: In the interpolation method, inverse distance weighted method, natural neighbor point method and nearest neighbor point method are suitable for engineering applications, among which the data grid generated by inverse distance weighting method has the highest accuracy of particle flux inversion, and the method uses low order The inversion result obtained when the distance is more reasonable.