基于深度学习的MIMO雷达一体化处理OA北大核心CSTPCD

The traditional MIMO radar adopts a cascade signal processing flow based on model driving.Each processing flow depends heavily on the model assumptions and is interdependent.A data driven method based on deep learning is introduced.By building a three-dimensional convolutional neural network detection model,the transmission waveform is directly detected at the receiver,and the joint processing of space,time and distance dimensions is realized.The simulation results show that in the simple target environment,the deep learning method is equivalent to the traditional processing scheme;In the complex target environment,the deep learning method is obviously superior to the traditional model-driven processing method.The validity of deep learning in the integrated processing of MIMO radar signals is verified.