摘要
为了满足自动驾驶、远程驾驶等未来6G车联网应用对高速率、低时延传输以及高精度感知的性能需求,业界提出将无线通信与无线感知功能进行融合,在6G车联网络中实现无线传输与感知定位极致性能的同时满足。提出了一种基于通信感知信号时频域正交体制的通信感知融合方法,采用OFDM通信信号完成对目标的探测、定位,并利用短窗化矩阵分解参数估计方法完成对探测目标的感知信息提取。同时,搭建了系统级仿真平台对不同的时频资源配比下所提方法的通信/感知性能进行了评估,分析了所提融合方法下通信感知性能间的相互影响,并给出通信感知性能折中的设计方案。
In order to meet the performance requirements of future 6G vehicular networking applications such as automatic driving and remote driving for high-speed, low-latency transmission and high-precision sensing, the industry proposes to integrate wireless communication and wireless sensing functions to achieve the simultaneous satisfaction of wireless transmission and sensing and positioning in the 6G vehicular networking. In this paper, a integrated communication sensing method based on the time and frequency domain orthogonal system of integrated signal is proposed. The OFDM communication signal is used to detect and locate the target, and the sensing information of the detected target is extracted using the short windowing matrix decomposition parameter estimation method. At the same time, a system-level simulation platform is built to evaluate the communication/sensing performance of the proposed method under different time-frequency resource ratios, reveal the interaction between the communication sensing performance of the proposed method, and give a compromise resource allocation scheme for communication sensing performance.
作者
林育哲
亢晨宇
王鑫洋
LIN Yuzhe;KANG Chenyu;WANG Xinyang(Bering University of Posts and Telecommunications,Bering 100876,China)
出处
《移动通信》
2023年第3期78-83,共6页
Mobile Communications
基金
国家重点研发计划(2021YFB2900200)。
关键词
通信感知融合
车联网
系统级仿真平台
性能评估
integrated communication and sensing
vehicle network
system-level simulation platform
performance evaluation
