用于MIMO雷达感知与多用户通信的联合波形设计
Waveform Design for Simultaneous MIMO Radar Sensing and Multi-User Communication
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中文总结 AI 辅助
本文提出一种两阶段联合波形设计框架，用于实现多天线ISAC系统的MIMO雷达感知与多用户通信，通过凸矩阵邻近问题与迫零方法优化波形，提升了设计灵活性、性能与计算效率。
中文摘要 AI 辅助
本文针对多天线集成感知与通信（ISAC）系统，提出一种新颖的两阶段联合波形设计框架，该框架可同时实现多输入多输出（MIMO）雷达感知与多用户MIMO通信。首先，通过求解用于波束成形的凸矩阵邻近问题设计发射波形协方差矩阵，该矩阵同时最大化期望方向的发射功率、最小化跨方向相关性，同时适配独立天线功率约束，并通过辐射零点控制支持干扰抑制。其次，合成符合设计协方差的波形，同时通过迫零方法额外抑制用户间干扰，并施加实际实现约束，特别是限制各天线单元的峰均功率比。仿真结果表明，与文献中的替代方法相比，该方法显著提升了ISAC波形设计的灵活性、性能与计算效率。
英文摘要
This paper proposes a novel two-stage joint waveform design framework for multi-antenna Integrated Sensing and Communication (ISAC) systems that simultaneously enable Multiple-Input Multiple-Output (MIMO) radar sensing and Multi-User MIMO communication. First, a transmit waveform covariance matrix is designed by solving a convex matrix nearness problem for beampattern synthesis that simultaneously maximizes transmit power in desired directions and minimizes cross-directional correlations, while accommodating independent antenna power constraints and supporting interference suppression through radiation null steering. Second, a waveform conforming to the designed covariance is synthesized while additionally enforcing inter-user interference suppression via the zero-forcing approach and imposing practical implementation constraints, notably limiting the peak-to-average-power-ratio on the individual antenna elements. Simulation results demonstrate that the approach significantly enhances ISAC waveform design flexibility, performance, and computational efficiency compared to the alternative methods in the literature.
