Modeling of calculation error series of antiaircraft gun weapon systems

Ten measured CES (Calculation Error Series) were analyzed. The normality and stationarity of the CES and FDSCE (First Difference Series of Calculation Error) were tested separately. The results are as follows. In traditional firing efficiency analysis methods for antiaircraft gun weapon system, CES was considered to be a one order stationary normal series. Actually, it is neither stationary nor normal. FDSCE is stationary and normal. Based on this, the ARMA (Autoregressive Moving Average) model of FDSCE was given. Furthermore, the ARIMA (Autoregressive Integrated Moving Average) model of CES was given. The random generation method of CES was given, which can be used to analyze the firing efficiency by Monte-Carlo method more accurately.