基于最大熵谱估计的高能电子周期特性研究  

Study on the Periodic Characteristics of High-energy Electrons Based on Maximum Entropy Spectral Estimation

作　　者：万美言 鲁同所 廖偲含 于白雪 高贝贝 Wan Meiyan;Lu Tongsuo;Liao Sihan;Yu Baixue;Gao Beibei(College of Science,Tibet University,Lasa 850000,China;Shanghai Institute of Applied Physics,Chinese Academy of Sciences,Shanghai 201800,China)

机构地区：[1]西藏大学理学院,西藏拉萨850000 [2]中国科学院上海应用物理研究所,上海201800

出　　处：《天文研究与技术》2021年第3期405-412,共8页Astronomical Research & Technology

基　　金：国家自然科学基金(11803024,11747128);西藏自治区自然科学基金(XZ2019ZRG-163);西藏大学教师学历提升“博士后计划”;西藏大学理学院2019年度和2020年度院级教改项目资助.

摘　　要：利用最大熵谱法研究了风云二号D星≥2.0 MeV的高能电子通量的周期特性,算法以自相关模型为基础,通过对最大熵谱功率谱的分析,推测出风云二号D星高能电子通量存在13.87 d和27.8 d的周期。根据最终预报误差准则(Final Prediction Error,FPE)和赤池信息量准则(Akaike Information Criterion,AIC)确定最佳阶数,进而计算自相关模型参数,并将Levinson-Durbin和Burg算法与最大熵谱法进行比较,发现最大熵谱法在周期特性研究上存在优势。这一结果对研究地球同步轨道高能电子空间分布、预报高能电子增强事件和预警深层充电事件至关重要。Based on maximum entropy spectral estimation method,this paper analyzes the periodic characteristics of the high-energy electron flux≥2.0 MeV which has been observed by FY-2D meteorological satellite.The algorithm is based on the autocorrelation model(AR),a period of 13.87 d and 27.8 d is deduced by analyzing the power spectrum.According to the FPE and AIC criteria,the parameters of the AR model can be determined.Levinson-Durbin algorithm and Burg algorithm are compared with the maximum entropy spectral estimation method,it is found that maximum entropy spectral estimation has advantages in the study of periodic characteristics.The results are very important for the study of the spatial distribution of high-energy electrons in geosynchronous orbit,to forecast high energy electron flux enhancement events,or early warning of deep charging events.

关 键 词：高能电子 最大熵谱 周期特性 功率谱估计 

分 类 号：P172.4[天文地球—天文学]