Modeling and simulation of radar measurement errors by the autoregressive distributed lag model

Using the light measurement error data of radar, the autoregressive distributed lag model (ADLM) with variable lag influence and autoregressive conditional heteroskedasticity model (ACHM) are jointly built to describe the radar measurement errors. This model describes the statistical characteristics of the radar measurement errors , and compares the goodness of fit and prediction accuracy with the two commonly used nonstationary time series models: summation model and decomposition model. The results show that the mixed model of ADLM and ACHM has better goodness of fit and prediction accuracy in modeling this type of radar data.