论文标题
波形优化具有多个性能指标,用于宽带关节通信和雷达感应
Waveform Optimization with Multiple Performance Metrics for Broadband Joint Communication and Radar Sensing
论文作者
论文摘要
联合通信和雷达传感(JCAS)将通信和雷达/无线电传感整合到一个系统中,共享一个传输信号。在本文中,我们研究了JCAS波形优化的基础通信信号,该信号在该信号中检测雷达目标并同时与移动用户进行通信。我们首先为通信和传感分别开发了单个的新型波形优化问题。对于通信,我们通过将多用户干扰和有效信道增益整合到一个指标中,提出了一个新颖的总和速率下限,从而简化了总和速率的优化。对于雷达传感,我们考虑优化两个指标之一,即相互信息或cramer-rao结合。然后,我们通过在雷达度量的不同约束下优化通信度量来制定JCAS问题,并获得了封闭形式的解决方案和迭代解决方案,用于非凸JCAS JCAS优化问题。提供数值结果并验证提出的优化解决方案。
Joint communication and radar sensing (JCAS) integrates communication and radar/radio sensing into one system, sharing one transmitted signal. In this paper, we investigate JCAS waveform optimization underlying communication signals, where a base station detects radar targets and communicates with mobile users simultaneously. We first develop individual novel waveform optimization problems for communications and sensing, respectively. For communications, we propose a novel lower bound of sum rate by integrating multi-user interference and effective channel gain into one metric that simplifies the optimization of the sum rate. For radar sensing, we consider optimizing one of two metrics, the mutual information or the Cramer-Rao bound. Then, we formulate the JCAS problem by optimizing the communication metric under different constraints of the radar metric, and we obtain both closed-form solutions and iterative solutions to the non-convex JCAS optimization problem. Numerical results are provided and verify the proposed optimization solutions.