适用于无人集群的通感一体化测距技术研究 |
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作者姓名: | 闫朝星 杨玖文 尤星语 付林罡 刘昊 |
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作者单位: | 1.北京遥测技术研究所 北京 100076;2.太原卫星发射中心 太原 030045 |
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基金项目: | 航天科技集团应用创新计划(EP887457);装备预研项目(50911030301) |
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摘 要: | 空天地一体化多接入和通感一体化融合将是6G(第六代移动通信系统)的核心关键能力,针对通信辅助感知时基于通信波形的一体化波形发展需求,在无人机集群接入网中提出一种SC-FDE(单载波频域均衡)通感一体化波形的组帧方法,以及采用4倍过采样和2倍过采样时的高精度机间组网测距方法,用于提升集群组网的协同定位能力。通过仿真分析该通信波形的测距性能,结果表明:两种测距方法统计性能可以在信噪比为10 dB时达到根均方误差为0.1 m,且2倍过采样信号测距时比采用4倍过采样计算方法的性能更接近理论门限值。
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关 键 词: | 无人集群 通感一体 组网测距 SC-FDE |
收稿时间: | 2023/8/1 0:00:00 |
修稿时间: | 2024/1/7 0:00:00 |
Ranging Method with Integrated Sensing and Communication Signals for UAV Cluster |
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Authors: | YAN Chaoxing YANG Jiuwen YOU Xingyu FU Lingang LIU Hao |
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Institution: | 1.Beijing Research Institute of Telemetry, Beijing 100076, China;2.Taiyuan Satellite Launch Center, Taiyuan 030045, China |
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Abstract: | Space-air-ground access integrating, integrated sensing and communication (ISAC) will be the key capabilities in 6G. This paper studies an SC-FDE ISAC signal framing method in UAV networking to meet the requirement of communication-aided sensing based on the communication signals. Additionally, the high-precision ranging methods for UAV clusters with 4 and 2 samples per symbol are proposed to improve the cooperative localization performance in the UAV cluster network. After extensive simulations, we found that these two ranging methods could achieve a performance of RMSE=0.1 m at SNR=10 dB. Furthermore, the 2 samples per symbol ranging method outperforms the 4 samples method, and gets closer to the CRB theoretical performance bound. |
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Keywords: | UAV cluster Integrated sensing and communication Networked ranging SC-FDE |
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