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1.重庆邮电大学通信与信息工程学院,重庆 400065
2.军事科学院系统工程研究院,北京 100141
[ "廖希(1988- ),女,四川绵阳人,博士,重庆邮电大学副教授、博士生导师,主要研究方向为6G毫米波太赫兹通信感知、6G涡旋电磁波通信、散射反射通信等。" ]
[ "林长溪(2000- ),男,山东德州人,重庆邮电大学硕士生,主要研究方向为散射反射通信。" ]
[ "郑相全(1972- ),男,四川内江人,博士,军事科学院高级工程师,主要研究方向为无线通信。" ]
[ "王洋(1986- ),男,重庆人,博士,重庆邮电大学副教授、博士生导师,主要研究方向为第六代移动通信技术、毫米波太赫兹信道测量与建模、涡旋电磁波、智能反射面等。" ]
[ "林峰(1978- ),男,山东烟台人,重庆邮电大学高级工程师、硕士生导师,主要研究方向为5G-V2X车联网与车路协同控制等。" ]
[ "陈前斌(1967- ),男,四川营山人,博士,重庆邮电大学教授、博士生导师,主要研究方向为无线通信、多媒体信息传输与处理等。" ]
收稿日期:2024-03-22,
修回日期:2024-08-28,
纸质出版日期:2024-09-25
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廖希,林长溪,郑相全等.面向通信感知一体化的室内太赫兹信道反射与透射特性研究[J].通信学报,2024,45(09):183-191.
LIAO Xi,LIN Changxi,ZHENG Xiangquan,et al.Research on indoor THz channel reflection and transmission characteristics for integrated sensing and communication[J].Journal on Communications,2024,45(09):183-191.
廖希,林长溪,郑相全等.面向通信感知一体化的室内太赫兹信道反射与透射特性研究[J].通信学报,2024,45(09):183-191. DOI: 10.11959/j.issn.1000-436x.2024168.
LIAO Xi,LIN Changxi,ZHENG Xiangquan,et al.Research on indoor THz channel reflection and transmission characteristics for integrated sensing and communication[J].Journal on Communications,2024,45(09):183-191. DOI: 10.11959/j.issn.1000-436x.2024168.
明确室内太赫兹(THz)波反射与透射特性对于构建太赫兹通信感知一体化(ISAC)信道模型至关重要。利用基于矢量网络分析仪的测量平台对7种室内材料在130~134 GHz频段开展了测量活动,分析了太赫兹信道反射与透射特性的频率依赖性及入射角依赖性,与282~290 GHz频段测量结果对比,揭示了2个频段内反射损耗特性。采用量子粒子群优化算法提取材料电磁参数,提出了一种频率-入射角联合的反射系数模型。结果表明,该模型能够准确刻画反射系数随频率与入射角的变化规律。研究成果补充了130~134 GHz频段材料传播系数数据库,丰富了电磁参数数据集,建立了反射系数模型,为太赫兹ISAC系统检测、识别、环境重构等功能提供了数据基础及模型参考。
The indoor terahertz (THz) wave reflection and transmission characteristics were clarified as essential for the construction of an integrated channel model for terahertz integrated sensing and communication (ISAC). Measurement campaigns were carried out on seven indoor materials at 130~134 GHz using a vector network analyzer-based measurement platform
and the frequency dependence and incidence angle dependence of the terahertz channel reflection and transmission characteristics were analyzed
which were compared with the measurement results at 282~290 GHz
to have the reflection loss characteristics in the two frequency bands revealed. A quantum particle swarm optimization algorithm was used to extract the material electromagnetic parameters
and a joint frequency-incidence angle model of the reflection coefficient was proposed. The results are shown to indicate that the variation rule of the reflection coefficient with frequency and incidence angle can be accurately portrayed by the model. The material propagation coefficient database of the 130~134 GHz band is supplemented by the research results
the electromagnetic parameter dataset is enriched
and the reflection coefficient model is established. The data basis and model reference for the detection
identification
and environmental reconstruction of the terahertz ISAC system are provided.
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