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

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。

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.