面向OFDM-DFRC系统的任务导向混合波束成形：灵活控制空频频谱
Task-Oriented Hybrid Beamforming for OFDM-DFRC Systems with Flexibly Controlled Space-Frequency Spectra
AI总结：
针对OFDM-DFRC系统多任务场景，提出基于AISMMR和APSIMR指标的混合波束成形设计，并采用CADMM统一优化算法求解，实现低复杂度闭式解，仿真验证有效性。
摘要：
本文研究了正交频分复用双功能雷达通信（DFRC）系统在多种任务场景下的混合波束成形设计问题，这些场景包括雷达扫描与探测任务以及目标跟踪任务。为满足DFRC系统不同的任务需求，我们引入了两种新颖的雷达波束图指标，即平均积分旁瓣与最小主瓣比（AISMMR）和平均峰值旁瓣与积分主瓣比（APSIMR），以表征不同场景下的空频频谱。随后，针对两种任务场景，分别以最小化AISMMR和APSIMR为目标，在通信服务质量（QoS）、功率预算和硬件约束下，构建了两个混合波束成形（HBF）设计问题。由于目标函数和QoS约束中模拟与数字波束成形器之间存在非线性和紧密耦合，所构建的问题难以求解。为此，我们提出了一种基于共识交替方向乘子法（CADMM）的统一优化算法来解决这两个问题。此外，在统一的CADMM框架下，原始两个问题中原始变量的闭式解以低复杂度获得。数值仿真验证了所提算法的可行性和有效性。
英文摘要：
This paper investigates the issues of the hybrid beamforming design for the orthogonal frequency division multiplexing dual-function radar-communication (DFRC) system in multiple task scenarios involving the radar scanning and detection task and the target tracking task. To meet different task requirements of the DFRC system, we introduce two novel radar beampattern metrics, the average integrated sidelobe to minimum mainlobe ratio (AISMMR) and average peak sidelobe to integrated mainlobe ratio (APSIMR), to characterize the space-frequency spectra in different scenarios. Then, two HBF design problems are formulated for two task scenarios by minimizing the AISMMR and APSIMR respectively subject to the constraints of communication quality-of-service (QoS), power budget, and hardware. Due to the non-linearity and close coupling between the analog and digital beamformers in both the objective functions and QoS constraint, the resultant formulated problems are challenging to solve. Towards that end, a unified optimization algorithm based on a consensus alternating direction method of multipliers (CADMM) is proposed to solve these two problems. Moreover, under the unified CADMM framework, the closed-form solutions of primal variables in the original two problems are obtained with low complexity. Numerical simulations are provided to demonstrate the feasibility and effectiveness of the proposed algorithm.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
