摘要
为了更好地进行应急通信的系统设计和技术研发,从而大力提升我国的安全风险防范和应急处置能力,面向应急通信场景开展了多无人机协同信道建模研究。首先,构建了城市地震和郊区暴雪两大典型应急环境中多无人机协同救援通信场景信道数据集,并据此对多无人机协同应急通信信道参数及其统计特性进行深度分析。其次,针对多无人机协同应急通信提出了一种更加通用的基于随机统计建模的信道模型,计算了多无人机协同应急通信下的信道冲激响应,并联合建模了多无人机高速移动和协同通信带来的协同时间-空间非平稳特性。最后,经过仿真实验,充分分析了多无人机协同应急通信在城市地震和郊区暴雪场景下的信道特性,为多无人机协同应急通信的实际实施起到了一定的指导作用。同时,所提信道模型的统计特性与在城市地震和郊区暴雪场景下的信道数据的统计特性拟合良好,验证了所提模型的有效性。
To carry out the system design and technology development for emergency communications,and greatly improve our ability of risk prevention and emergency disposal,the research on multi-unmanned aerial vehicle(multi-UAV)cooperative channel model for emergency communications was carried out.First,the channel dataset of multi-UAV cooperative emergency communications in two typical emergency environments,i.e.,the urban earthquake and suburban blizzard,was established.The channel parameters and statistical properties of multi-UAV cooperative emergency communications were analyzed.Second,a more general geometry-based stochastic channel model(GBSM)was proposed for multi-UAV cooperative emergency communications.The channel impulse response(CIR)and the cooperative non-station arity of multi-UAV cooperative channels in the space and time domains in multi-UAV cooperative emergency communications were calculated and captured.Finally,the channel characteristics of multi-UAV cooperative emergency communication in urban earthquake and suburban blizzard scenarios were analyzed,which could support the practical implementation of multi-UAV cooperative emergency communications.Meanwhile,the statistical characteristic of the proposed model can fit well with that of ray-tracing-based channel data,verifying the utility of the proposed model.
作者
白露
孙铭然
黄子蔚
冯涛
程翔
BAI Lu;SUN Mingran;HUANG Ziwei;FENG Tao;CHENG Xiang(Joint SDU-NTU Centre for Artificial Intelligence Research(C-FAIR),Shandong University,Jinan 250101,China;School of Electronics,Peking University,Beijing 100871,China;Institute of System Engineering,Academy of Military Sciences PLA,Beijing 100039,China)
出处
《通信学报》
EI
CSCD
北大核心
2023年第7期38-50,共13页
Journal on Communications
基金
国家自然科学基金资助项目(No.62001018,No.62125101,No.62341101)
山东省自然科学基金资助项目(No.ZR2023YQ058)。