论文标题
部分可观测时空混沌系统的无模型预测
Downlink and Uplink Cooperative Joint Communication and Sensing
论文作者
论文摘要
下行链路(DL)和上行链路(UL)联合通信和传感(JCAS)技术分别研究了用于使用DL和UL通信信号实现传感的研究。由于连续DL和UL JCAS时间插槽中的空间环境和JCAS通道通常不变,因此DL和UL JCAS可以共同设计以实现更好的感应性能。在本文中,我们提出了一种新型的DL和UL合作社(DUC)JCAS方案,其中包括DL和UL JCAS的统一多重信号分类(音乐)的JCAS传感方案以及DUC JCAS融合方法。统一的音乐JCAS感应方案可以根据统一的基于音乐的传感模块准确估算AOA,范围和多普勒。 DUC JCAS融合方法可以区分通信用户和其他愚蠢目标的传感结果。此外,通过利用频道互惠,它还可以提高感应和通道状态信息(CSI)估计精度。广泛的仿真结果验证了提出的DUC JCAS方案。结果表明,所提出的DUC JCAS方案的最小位置和速度估计均方根误差比最新的分离DL和UL JCAS方案低约20 dB。
Downlink (DL) and uplink (UL) joint communication and sensing (JCAS) technologies have been individually studied for realizing sensing using DL and UL communication signals, respectively. Since the spatial environment and JCAS channels in the consecutive DL and UL JCAS time slots are generally unchanged, DL and UL JCAS may be jointly designed to achieve better sensing performance. In this paper, we propose a novel DL and UL cooperative (DUC) JCAS scheme, including a unified multiple signal classification (MUSIC)-based JCAS sensing scheme for both DL and UL JCAS and a DUC JCAS fusion method. The unified MUSIC JCAS sensing scheme can accurately estimate AoA, range, and Doppler based on a unified MUSIC-based sensing module. The DUC JCAS fusion method can distinguish between the sensing results of the communication user and other dumb targets. Moreover, by exploiting the channel reciprocity, it can also improve the sensing and channel state information (CSI) estimation accuracy. Extensive simulation results validate the proposed DUC JCAS scheme. It is shown that the minimum location and velocity estimation mean square errors of the proposed DUC JCAS scheme are about 20 dB lower than those of the state-of-the-art separated DL and UL JCAS schemes.