Recently,unmanned aerial vehicle(UAV)-aided free-space optical(FSO)communication has attracted widespread attentions.However,most of the existing research focuses on communication performance only.The authors investig...Recently,unmanned aerial vehicle(UAV)-aided free-space optical(FSO)communication has attracted widespread attentions.However,most of the existing research focuses on communication performance only.The authors investigate the integrated scheduling of communication,sensing,and control for UAV-aided FSO communication systems.Initially,a sensing-control model is established via the control theory.Moreover,an FSO communication channel model is established by considering the effects of atmospheric loss,atmospheric turbulence,geometrical loss,and angle-of-arrival fluctuation.Then,the relationship between the motion control of the UAV and radial displacement is obtained to link the control aspect and communication aspect.Assuming that the base station has instantaneous channel state information(CSI)or statistical CSI,the thresholds of the sensing-control pattern activation are designed,respectively.Finally,an integrated scheduling scheme for performing communication,sensing,and control is proposed.Numerical results indicate that,compared with conventional time-triggered scheme,the proposed integrated scheduling scheme obtains comparable communication and control performance,but reduces the sensing consumed power by 52.46%.展开更多
无人机遥感探测在军事侦察领域发挥着重要作用,偏振探测利用偏振光与物体相互作用产生的偏振变化来提高目标对比度。然而在复杂场景下,伪装小目标与背景特征差异较小且空间信息不足,存在检测困难的问题。为此提出一种偏振伪装小目标检...无人机遥感探测在军事侦察领域发挥着重要作用,偏振探测利用偏振光与物体相互作用产生的偏振变化来提高目标对比度。然而在复杂场景下,伪装小目标与背景特征差异较小且空间信息不足,存在检测困难的问题。为此提出一种偏振伪装小目标检测算法(Polarization Camouflaged Small Object Detection-YOLO,PCSOD-YOLO),设计了高效层注意力模块-坐标注意力特征提取模块和空间金字塔池化跨阶段局部通道-3D权重注意力感受野模块,捕获目标的偏振特征和语义信息,增强上下文信息理解能力;设计了动态小目标检测头,通过动态卷积增强对小目标特征提取能力的同时,利用不同尺度的特征信息,联合多通道特征信息输出小目标检测结果。构建伪装小目标偏振图像数据集(Polarization Image of Camouflaged Small Objects,PICSO)。在PICSO数据集上的实验表明,所提出的方法可以有效检测伪装小目标,mAP_(0.5)达到92.4%,mAP_(0.5:0.95)达到47.8%,检测速率达到60.6帧/s,满足实时性要求。展开更多
低空无人机可以扩展通信网络的覆盖范围,并增强其通信和感知功能。近年6G、低空飞行技术、低空经济发展较为迅速,通信感知一体化(Integrated Sensing and Communication,ISAC)中的低空无人机相关理论与技术成为研究热点,带来了新的机遇...低空无人机可以扩展通信网络的覆盖范围,并增强其通信和感知功能。近年6G、低空飞行技术、低空经济发展较为迅速,通信感知一体化(Integrated Sensing and Communication,ISAC)中的低空无人机相关理论与技术成为研究热点,带来了新的机遇和挑战。梳理并归纳了面向6G的ISAC低空无人机研究成果。首先介绍ISAC低空无人机领域的研究背景,然后梳理了近几年来国内外对ISAC低空无人机领域的相关研究,从波形设计、雷达成像、干扰管理、资源管理与轨迹设计、人工智能技术应用5个方面展开综述,最后对低空无人机的ISAC技术未来发展趋势及相关挑战进行展望。展开更多
文摘Recently,unmanned aerial vehicle(UAV)-aided free-space optical(FSO)communication has attracted widespread attentions.However,most of the existing research focuses on communication performance only.The authors investigate the integrated scheduling of communication,sensing,and control for UAV-aided FSO communication systems.Initially,a sensing-control model is established via the control theory.Moreover,an FSO communication channel model is established by considering the effects of atmospheric loss,atmospheric turbulence,geometrical loss,and angle-of-arrival fluctuation.Then,the relationship between the motion control of the UAV and radial displacement is obtained to link the control aspect and communication aspect.Assuming that the base station has instantaneous channel state information(CSI)or statistical CSI,the thresholds of the sensing-control pattern activation are designed,respectively.Finally,an integrated scheduling scheme for performing communication,sensing,and control is proposed.Numerical results indicate that,compared with conventional time-triggered scheme,the proposed integrated scheduling scheme obtains comparable communication and control performance,but reduces the sensing consumed power by 52.46%.
文摘无人机遥感探测在军事侦察领域发挥着重要作用,偏振探测利用偏振光与物体相互作用产生的偏振变化来提高目标对比度。然而在复杂场景下,伪装小目标与背景特征差异较小且空间信息不足,存在检测困难的问题。为此提出一种偏振伪装小目标检测算法(Polarization Camouflaged Small Object Detection-YOLO,PCSOD-YOLO),设计了高效层注意力模块-坐标注意力特征提取模块和空间金字塔池化跨阶段局部通道-3D权重注意力感受野模块,捕获目标的偏振特征和语义信息,增强上下文信息理解能力;设计了动态小目标检测头,通过动态卷积增强对小目标特征提取能力的同时,利用不同尺度的特征信息,联合多通道特征信息输出小目标检测结果。构建伪装小目标偏振图像数据集(Polarization Image of Camouflaged Small Objects,PICSO)。在PICSO数据集上的实验表明,所提出的方法可以有效检测伪装小目标,mAP_(0.5)达到92.4%,mAP_(0.5:0.95)达到47.8%,检测速率达到60.6帧/s,满足实时性要求。
文摘低空无人机可以扩展通信网络的覆盖范围,并增强其通信和感知功能。近年6G、低空飞行技术、低空经济发展较为迅速,通信感知一体化(Integrated Sensing and Communication,ISAC)中的低空无人机相关理论与技术成为研究热点,带来了新的机遇和挑战。梳理并归纳了面向6G的ISAC低空无人机研究成果。首先介绍ISAC低空无人机领域的研究背景,然后梳理了近几年来国内外对ISAC低空无人机领域的相关研究,从波形设计、雷达成像、干扰管理、资源管理与轨迹设计、人工智能技术应用5个方面展开综述,最后对低空无人机的ISAC技术未来发展趋势及相关挑战进行展望。
