论文标题
基于共同信息的MIMO集成感测和通信边界设计的框架
A Framework for Mutual Information-based MIMO Integrated Sensing and Communication Beamforming Design
论文作者
论文摘要
集成的感应和通信（ISAC）统一了感应和沟通，并提高了光谱，能量和硬件的效率。在这项工作中，我们研究了ISAC波束成形设计，以最大程度地提高点雷达目标的目标响应矩阵与回声信号之间的相互信息，同时确保通信用户的数据速率要求。为了研究通信用户对传感性能引起的回声干扰的影响，我们研究了两种情况：一个通信用户和多个通信用户。对于单个通信用户，我们考虑了三种类型的回声干扰，无干扰，点干扰和扩展干扰。对于多个通信用户，干扰也是一个扩展的，此外，每个用户的通信率要求都需要满足。为了在这些问题中找到最佳的波束形成设计，我们提供了一种封闭形式的解决方案，具有低复杂性的半芬矿松弛（SDR）方法，这是一种基于大型化最小化方法（MM）方法的低复杂性算法和连续的CONVEX近似值（SCA）方法，以及基于MMMMMDADA和SCA方法的algorithM。数值结果表明，与基于Cramér-Rao结合（CRB）度量的ISAC波束成形方案和Beampattern度量标准相比，提出的相互信息指标可以带来更好的Beam Pattersn和均方根误差（RMSE）的角度估计。此外，我们基于相互信息指标设计的提议计划可以有效地抑制通信用户的回声干扰。
Integrated sensing and communication (ISAC) unifies sensing and communication, and improves the efficiency of the spectrum, energy, and hardware. In this work, we investigate the ISAC beamforming design to maximize the mutual information between the target response matrix of a point radar target and the echo signals, while ensuring the data rate requirements of the communication users. In order to study the impact of the echo interference caused by communication users on sensing performance, we study two scenarios: a single communication user and multiple communication users. For the case of a single communication user, we consider three types of echo interference, no interference, a point interference, and an extended interference. For the case of multiple communication users, the interference is also an extended one, and furthermore, each user's communication rate requirement needs to be satisfied. To find the optimal beamforming design in these problems, we provide a closed-form solution with low complexiy, a semidefinite relaxation (SDR) method, a low-complexity algorithm based on the Majorization-Minimization (MM) method and the successive convex approximation (SCA) method, and an algorithm based on MM method and SCA method, respectively. Numerical results demonstrate that, compared to the ISAC beamforming schemes based on the Cramér-Rao bound (CRB) metric and the beampattern metric, the proposed mutual information metric can bring better beampattern and root mean square error (RMSE) of angle estimation. Furthermore, our proposed schemes designed based on the mutual information metric can suppress the echo interference from the communication users effectively.
