联合雷达与通信系统(Joint Radar and Communication System，JRCS)是解决 6G网络频谱资源紧缺的有效技术之一。受智能超表面(Reconfigurable Intelligent Surface，RIS)研究的启发，提出了一种RIS辅助JRCS的技术，能够有效提高用户的加权和速率(Weighted Sum Rate，WSR)以及探测性能。利用加权最小均方误差分式规划(Weighted Minimum Mean-Square Error Fractional Programming，WMMSE＿FP)算法进行求解，并通过迭代求解找到最优解，构建了用户的WSR以及探测性能最大化的优化模型。仿真结果表明，RIS辅助 JRCS较 RIS辅助分离雷达与通信系统，在最大化 WSR及提高目标探测性能方面表现更佳;系统的最大化WSR提高到8。52 bit/s/Hz，比分离雷达与通信系统提高了2。11 bit/s/Hz，主瓣波峰值可以达到 32。04 dBm。
Design of Reconfigurable Intelligent Surface Assisted Joint Radar and Communication Systems
The Joint Radar and Communication System(JRCS)is one effective solution for alleviating spectrum scarcity in 6G net-works.Inspired by research on Reconfigurable Intelligent Surface(RIS),a technique for RIS-assisted JRCS systems has been proposed to significantly improve users'Weighted Sum Rate(WSR)and detection performance.The Weighted Minimum Mean Square Error Fractional Programming(WMMSE＿FP)algorithm is used for solving,finding the optimal solution through iterative solutions to this problems,thereby constructing an optimization model that maximizes the weighted sum rate and detection performance for users.Simula-tion results indicate that the proposed RIS-assisted JRCS system achieves a higher maximized WSR of 8.52 bit/s/Hz and improved target detection performance compared to the RIS-assisted separate radar and communication systems,with an increase of 2.11 bit/s/Hz,and the Probling Power reaching 32.04 dBm.
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