Separation of Space Group Targets Based on High-Order Moment Function and EMD

Space target recognition is one of the radar's significant tasks. The separation of group targets is the basis of the target recognition when several targets are within a range cell of one radar beam. In this paper, a method for group targets separation based on high-order moment function and empirical model decomposition (EMD) is proposed. The first step is deriving the high-order moment function of the target echo signal, and then processing the imaginary parts of the high-order moment function with EMD method. We can achieve the separation of group targets according to the derivational IMF from the decomposition. Simulation is given to validate the effectiveness of the proposed method.