空天预警研究学报2024，Vol.38Issue(4)：258-263,6.DOI:10.3969/j.issn.2097-180X.2024.04.005
基于强化学习的雷达自适应波形调度杂波抑制方法
Radar adaptive waveform scheduling method for clutter suppression based on reinforcement learning
摘要
Abstract
Facing the problem of clutter suppression in the wide-area combat environment of ground and ship-borne early warning radar,the traditional single scheduling mode has difficulty meeting the demand of high-perfor-mance detection.To this end,on the basis of adaptive perception of clutter environment,a radar adaptive wave-form scheduling clutter suppression method based on reinforcement learning is proposed for radar clutter suppres-sion task.And then,the integrated reward function of radar waveform is constructed through the dimensions such as clutter residual and resource consumption.Finally,Q-learning and DQN reinforcement learning models are used for radar strategy training,with radar adaptive waveform parameter adjustment achieved.Simulation results show that the adaptive waveform scheduling method based on reinforcement learning can effectively utilize radar system resources and improve radar detection performance in complex clutter environment.关键词
雷达杂波抑制/强化学习/自适应波形调度/环境感知Key words
radar clutter suppression/reinforcement learning/adaptive waveform scheduling/environmental perception分类
信息技术与安全科学引用本文复制引用
崔炜程,冯阳,郭国强..基于强化学习的雷达自适应波形调度杂波抑制方法[J].空天预警研究学报,2024,38(4):258-263,6.
