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

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.