Hardware Efficient Joint Radar-Communications with Hybrid Precoding and RF Chain Optimization
Hardware Efficient Joint Radar-Communications with Hybrid Precoding and RF Chain Optimization
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DOI：
10.1109/icc42927.2021.9500661
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发表时间：
2021-04
期刊：
影响因子：
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通讯作者：
Aryan Kaushik;C. Masouros;Fan Liu
中科院分区：
文献类型：
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作者：
Aryan Kaushik;C. Masouros;Fan Liu
在本文中，我们的目标是以最小的硬件需求实现能量有效的设计，以使大量的天线和最少的射频链，以及基于子阵多输入多输出(MIMO)雷达的联合雷达通信(JRC)系统。在基带处理中实现了一种动态的有源射频链选择机制，并利用分式规划求解能量效率最大化问题，以获得当前信道状态下的最佳射频链数目。随后，使用子阵列化MIMO结构来计算混合预编码器，该结构用于通信和雷达度量的加权公式的EE最大化，并且解决方案基于交替最小化。仿真结果表明，该方法以最少的硬件实现了最好的均衡，同时保持了速率性能，并在感知和通信之间取得了有效的折衷。
In this paper, we aim to achieve energy efficient design with minimum hardware requirement for hybrid precoding, which enables a large number of antennas with minimal number of RF chains, and sub-arrayed multiple-input multiple-output (MIMO) radar based joint radar-communication (JRC) systems. A dynamic active RF chain selection mechanism is implemented in the baseband processing and the energy efficiency (EE) maximization problem is solved using fractional programming to obtain the optimal number of RF chains at the current channel state. Subsequently hybrid precoders are computed employing a sub-arrayed MIMO structure for EE maximization with weighted formulation of the communication and radar metrics, and the solution is based on alternating minimization. The simulation results show that the proposed method with minimum hardware achieves the best EE while maintaining the rate performance, and an efficient trade-off between sensing and communication.