A scheduling method based on the adaptive order least square tracking filtering algorithm of phased array radars

Abstract

For the problems of existing adaptive scheduling methods of phased array radars, such as unreliable adaptive ability, a new adaptive scheduling method for phased array radars is proposed which is based on the adaptive order least square tracking filtering algorithm. The output predicted variance value of the adaptive order least square tracking filter is used to adjust the tracking sampling period of the phased array in real time, which can provide the preferably applicability for the targets with various motion characteristics and the maximal flexibility for the radar scheduler. The method is evaluated with the unified performance evaluation parameters and then the simulation results show the proposed method can improve the performance of the radar scheduler effectively.