基于强化学习的雷达自适应波形调度杂波抑制方法OA
Radar adaptive waveform scheduling method for clutter suppression based on reinforcement learning
面向地面及舰载等预警雷达广域作战环境下杂波抑制问题,传统单一的调度方式难以满足高性能探测需求.为此在杂波环境自适应感知基础上,面向雷达杂波抑制任务,提出一种基于强化学习的雷达自适应波形调度杂波抑制方法.通过杂波剩余和资源消耗等维度构建雷达波形综合奖励函数,利用Q-学习和DQN强化学习模型进行雷达策略训练,实现雷达自适应波形参数调整.仿真结果表明,基于强化学习的自适应波形调度方法可以有效利用雷达系统资源,提升复杂杂波环境下雷达探测性能.
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 …查看全部>>
崔炜程;冯阳;郭国强
南京电子技术研究所,南京 210039南京电子技术研究所,南京 210039南京电子技术研究所,南京 210039
电子信息工程
雷达杂波抑制强化学习自适应波形调度环境感知
radar clutter suppressionreinforcement learningadaptive waveform schedulingenvironmental perception
《空天预警研究学报》 2024 (4)
258-263,6
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