Study on prediction method of fault channel numbers in radar antenna array

Antenna array is an important part of large phased array radar, it has great significance to predict the numbers of fault channel of antenna array to reduce the cost of equipment maintenance support and improve the operational efficiency of equipment. Aiming at the problem of the volatility of the historical data of fault channel, sliding average method is used to preprocess the initial data to improve the adaptation of grey prediction method. Adaptive operator is introduced to reconstruct the background value of the model and improve the prediction accuracy. The metabolic method is introduced to solve the problem of data updating. The improved GM (1,1) model has been established to predict fault channel numbers of antenna array. The effectiveness of proposed method is verified by simulation and algorithm comparison, which provides a new method for the prediction of fault channel numbers of antenna array.