火力与指挥控制2024，Vol.49Issue(3)：49-55,7.DOI:10.3969/j.issn.1002-0640.2024.03.007
基于深度学习的MIMO雷达一体化处理
Integrated Processing of MIMO Radar Based on Deep Learning
摘要
Abstract
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.关键词
MIMO雷达/数据驱动/深度学习/目标环境Key words
MIMO radar/data driven method/deep learning/target environment分类
信息技术与安全科学引用本文复制引用
姜春磊,陈宝欣,黄勇..基于深度学习的MIMO雷达一体化处理[J].火力与指挥控制,2024,49(3):49-55,7.基金项目
国家自然科学基金资助项目(61871391) （61871391）
