Forecasting of target air route based on weighted least squares method

The azimuth and elevation variation rules of a short-range, low-flying target is firstly analyzed in this paper, then the target air route is predicted using a weighted least squares parabolic regression parameter estimation method - firstly the input signal is filtered, then one step prediction is carried out. This method has advantages of easier formula derivation and less intermediate variables. Simulation results show that by selection of forgetting factor of the historical data, the prediction of the target air route can be faster, stabler and more accurate.