论文标题
基于协方差的杂交边界成形,以进行光谱有效的关节雷达通信
Covariance-Based Hybrid Beamforming for Spectrally Efficient Joint Radar-Communications
论文作者
论文摘要
联合雷达通信(JRC)被认为是部署下一代系统的重要技术,因为它在射频(RF)频谱的充电环境中有用,并利用相同的硬件资源用于双重功能。使用JRC系统进行双重功能会在两个操作之间产生干扰,这两个操作需要在将来的标准化中解决。此外,可以通过部署混合光束形成来提出JRC系统,该混合波束形成比传输天线的数量更少。本文设计了一种强大的杂交边界器,以最大程度地减少JRC发射器通过RF链选择的干扰,从而导致相互信息最大化。我们考虑双函数JRC系统的加权互信息,并为两个操作实现一个常见的模拟波束形式。共同提出了共同信息最大化问题,该问题是非凸面且难以解决的。该问题被简化为凸出形式并使用dinkelbach近似值的分数编程解决。与基线相比,评估了基于最佳RF选择的最佳选择方法的性能,并通过数值结果推断出其有效性。
Joint radar-communications (JRC) is considered to be a vital technology in deploying the next generation systems, since its useful in decongestion of the radio frequency (RF) spectrum and utilising the same hardware resources for dual functions. Using JRC systems for dual function generates interference between both the operations which needs to be addressed in future standardization. Furthermore, JRC systems can be advanced by deploying hybrid beamforming which implements fewer number of RF chains than the number of transmit antennas. This paper designs a robust hybrid beamformer for minimizing the interference of a JRC transmitter via RF chain selection resulting into mutual information maximization. We consider a weighted mutual information for the dual function JRC system and implement a common analog beamformer for both the operations. The mutual information maximization problem is formulated which is non-convex and difficult to solve. The problem is simplified to convex form and solved using Dinkelbach approximation abased fractional programming. The performance of the optimal RF selection based proposed approach is evaluated, compared with baselines and its effectiveness is inferred via numerical results.