基于5G波形的基站测向感知研究
Research on Directional Sensing of Base Stations Based on 5G Waveform

通信感知一体化技术利用无线信号实现对目标的定位、检测、成像和识别等感知功能，是未来6G通信最为核心的服务和应用之一。在5G通信网络中，通信感知技术可以让网络节点通过感知基站位置方向实现更为有效的协作和网络资源优化配置。本文围绕5G移动通信系统信号源的测向展开研究，将基于窄带发送信号的多径角估计算法推广到5G网络的OFDM系统中，提出了一种使用5G系统下行同步过程中主同步序列的自相关特性感知基站方向角的算法，并利用准确定性无线信道产生器在不同信噪比下对算法性能进行仿真。仿真结果表明，5G基站感知算法能够有效地确定基站和散射体相对于接收机的方向。
Integrated sensing and communication technology utilizes wireless signals to achieve sensing func-tions such as target localization, detection, imaging and identification, which is one of the most core services and applications of future 6G communications. In 5G communication networks, partial communication sensing technology can enhance network collaboration and resource allocation by sensing base station directions. This paper focuses on the direction finding of the signal source in 5G mobile communication systems. To this end, we extend the multipath angle estimation algorithm based on narrowband transmitted signals to the OFDM systems in 5G networks, and propose an al-gorithm to sense the directional angle of base stations using the autocorrelation property of the primary synchronization sequence in the downlink synchronization process of 5G systems. We evaluate the algorithm’s performance using an accurate qualitative radio channel generator at dif-ferent signal-to-noise ratios. The simulation results demonstrate that the 5G base station sensing algorithm can clearly represent the direction of base stations and scatterers relative to the receiver.