适用于无人集群的通感一体化测距技术研究

Ranging Method with Integrated Sensing and Communication Signals for UAV Cluster

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。

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 communicationaided 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.