This work investigates a multibeam system for joint sensing and communication (JSC) based on multiple-input multiple-output (MIMO) 5G new radio (NR) waveforms. In particular, we consider a base station (BS) acting as a monostatic sensor that estimates the range, speed, and direction of arrival (DoA) of multiple targets via beam scanning using a fraction of the transmitted power. The target position is then obtained via range and DoA estimation. We derive the sensing performance in terms of probability of detection and root mean squared error (RMSE) of position and velocity estimation of a target under line-of-sight (LOS) conditions. Furthermore, we evaluate the system performance when multiple targets are present, using the optimal sub-pattern assignment (OSPA) metric. Finally, we provide an in-depth investigation of the dominant factors that affect performance, including the fraction of power reserved for sensing.

中文翻译：

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基于5G新空口的联合感知与通信系统级分析


这项工作研究了基于多输入多输出 (MIMO) 5G 新无线电 (NR) 波形的联合感知和通信 (JSC) 多波束系统。特别是，我们考虑将基站（BS）用作单基地传感器，通过使用一小部分发射功率的波束扫描来估计多个目标的范围、速度和到达方向（DoA）。然后通过距离和 DoA 估计获得目标位置。我们根据视线 (LOS) 条件下目标位置和速度估计的检测概率和均方根误差 (RMSE) 来推导出传感性能。此外，我们使用最佳子模式分配（OSPA）指标评估存在多个目标时的系统性能。最后，我们深入研究了影响性能的主导因素，包括为传感保留的功率比例。