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.
翻译:由于连续的DL和UL JCAS时段的空间环境和JCAS频道一般没有变化,DL和UL JCAS联合组合方法可以共同设计,以提高遥感性能,在本文件中,我们提议了一个新的DL和UL合作JCAS计划,其中包括一个基于DL和UL联合通信和遥感技术的统一多重信号分类(MUSIC)的JCAS JCAS JCAS JCAS JCAS联合方法,以及一种DUC JCAS联合方法,统一MUSIC JCAS遥感计划可以精确估计AoA、射程和多普勒在基于统一MUSICS的遥感模块基础上的AAA、射程和多普勒。DUCJCAS联合方法可以区分通信用户和其他哑巴目标的遥感结果。此外,通过对等利用频道,它还可以改进遥感和频道国家信息估计的准确性。广泛的模拟结果验证了拟议的DUCUCJCAS综合方法。它表明,这些最低位置和最低速度估计计划比JCAS-L标准平方计划低值差。