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| 面向数字孪生系统的键控驱动通感一体化波形设计 |
| 王凯,杜秉哲,魏丽,杨瑞航,朱辰,黄崇文,王建斌,施淑媛 |
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| (1.天津市工业和信息化研究院，天津 300374;2.浙江大学 a.信息与电子工程学院;b.国家卓越工程师学院，杭州 310027;3.新加坡南洋理工大学 电气与电子工程学院，新加坡 639798;4.中国电信股份有限公司浙江分公司，杭州 310040) |
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| 摘要: |
| 将数字孪生技术与无人机应用深度融合，是推动低空经济高质量发展的关键路径。然而，无人机高速、广域的飞行特性，导致兼顾可靠通信与精准感知的双重目标成为数字孪生系统构建的瓶颈。为此，提出一种基于加权分数阶傅里叶变换的通信感知一体化波形设计方法，通过蜂窝网络融合数据传输与雷达感知功能，实现通信与感知的协同优化，突破无人机数字孪生系统的构建瓶颈。理论推导与仿真验证表明，相比传统多载波方案和单载波方案，所提混合载波方案在信噪比14 dB时的误码率分别降低约0.8个数量级和1.9个数量级，并且在中高信噪比区域表现出更加显著的性能优势。 |
| 关键词: 数字孪生 无人机(UAV) 通信感知一体化(ISAC) 加权分数阶傅里叶变换(WFRFT) 混合载波调制 |
| DOI：10.20079/j.issn.1001-893x.251120003 |
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| 基金项目:浙江省杰出青年科学基金（LRG26F010001）；中央高校基本科研业务费专项资金和浙江大学全球合作基金 |
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| Keyed-driven Integrated Sensing and Communication Waveform Design for Digital Twin Systems |
| WANG Kai,DU Bingzhea,WEI Li,YANG Ruihanga,ZHU Chenb,HUANG Chongwena,WANG Jianbin,SHI Shuyuan |
| (1.Tianjin Industry and Information Technology Institute，Tianjin 300374，China;2a.College of Information Science & Electronic Engineering;2b.National Outstanding Polytechnic Institute，Zhejiang University，Hangzhou 310027，China;3.School of Electrical and Electronic Engineering，Nanyang Technological University，Singapore 639798，Singapore;4.Zhejiang Branch，China Telecom Co.，Ltd.，Hangzhou 310040，China) |
| Abstract: |
| The deep integration of digital twin technology and unmanned aerial vehicle(UAV) applications is a crucial path to promote the high-quality development of the low-altitude economy.However，the high-speed and wide-area flight characteristics of UAVs make it a bottleneck in the construction of digital twin systems to simultaneously achieve the dual goals of reliable communication and accurate sensing.Therefore，a waveform design method for integrated sensing and communication(ISAC) based on weighted fractional Fourier transform is proposed.By integrating data transmission and radar sensing functions through cellular networks，the collaborative optimization of communication and sensing is realized，breaking through the bottleneck in the construction of UAV digital twin systems.Theoretical derivation and simulation verification show that，compared with the traditional multi-carrier scheme and single carrier scheme，the proposed hybrid carrier scheme reduces the bit error rate by approximately 0.8 orders of magnitude and 1.9 orders of magnitude at 14 dB signal-to-noise ratio(SNR)，respectively，and exhibits more significant performance advantages in the medium and high SNR regions. |
| Key words: digital twin unmanned aerial vehicle(UAV) integrated sensing and communication(ISAC) weighted-type fractional Fourier transform(WFRFT) hybrid carrier modulation |
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