论文标题
部分可观测时空混沌系统的无模型预测
Integrated Sensing and Communication Beamforming Design Based on Mutual Information
论文作者
论文摘要
集成的传感和通信（ISAC）统一了雷达感应和通信，并提高了光谱，能量和硬件的效率。在本文中，我们在下行链路系统中调查了具有通信用户和要感知点雷达目标的ISAC波束形成设计。雷达传感的设计标准是目标响应矩阵和回声信号之间的相互信息，而单个用户传输速率则用作通信的性能指标。研究了两种情况，没有通信用户的干扰。提供了低复杂性和基于半决赛弛豫（SDR）方法的闭合溶液，以分别解决这两个问题。数值结果表明，与基于CVX工具箱获得的SDR获得的结果相比，可行区域中的封闭式解决方案紧密。此外，我们表明SDR方法获得了最佳解决方案。
Integrated sensing and communication (ISAC) unifies radar sensing and communication, and improves the efficiency of the spectrum, energy and hardware. In this paper, we investigate the ISAC beamforming design in a downlink system with a communication user and a point radar target to be perceived. The design criterion for radar sensing is the mutual information between the target response matrix and the echo signals, while the single user transmission rate is used as the performance metric of the communication. Two scenarios without and with interference from the communication user are investigated. A closed-form solution with low complexity and a solution based on the semidefinite relaxation (SDR) method are provided to solve these two problems, respectively. Numerical results demonstrate that, compared to the results obtained by SDR based on the CVX toolbox, the closed-form solution is tight in the feasible region. In addition, we show that the SDR method obtains an optimal solution.
