In this paper, we formalize an optimization framework for analog beamforming in the context of monostatic integrated sensing and communication (ISAC), where we also address the problem of self-interference in the analog domain. As a result, we derive semidefinite programs to approach detection-optimal transmit and receive beamformers, and we devise a superiorized iterative projection algorithm to approximate them. Our simulations show that this approach outperforms the detection performance of well-known design techniques for ISAC beamforming, while it achieves satisfactory self-interference suppression.

翻译：本文针对单站集成感知与通信（ISAC）中的模拟波束赋形，构建了一个优化框架，同时解决了模拟域自干扰问题。在此基础上，我们推导了半定规划方法以逼近检测最优的发射与接收波束赋形器，并设计了一种超优化迭代投影算法进行近似求解。仿真结果表明，该方法在检测性能上优于现有ISAC波束赋形经典设计方案，同时实现了满意的自干扰抑制效果。