The focus of this study is on the spectrum sharing between multiple-input multiple-output (MIMO) communications and co-located MIMO radar systems in multi-path environments. The major challenge is to suppress the mutual interference between the two systems while combining the useful multi-path components received at each system. We tackle this challenge by jointly designing the communication precoder, radar transmit waveform and receive filter. Specifically, the signal-to-interference-plus-noise ratio (SINR) at the radar receiver is maximized subject to constraints on the radar waveform, communication rate and transmit power. The multi-path propagation complicates the expressions of the radar SINR and communication rate, leading to a non-convex problem. To solve it, a sub-optimal algorithm based on the alternating maximization is used to optimize the precoder, radar transmit waveform and receive filter iteratively. Simulation results are provided to demonstrate the effectiveness of the proposed design.
翻译:本研究的重点是多输入多输出(MIMO)通信和共同部署的MIMO雷达系统在多径环境中的频谱共享。主要挑战是抑制两个系统之间的互相干扰,同时合并每个系统接收到的有用多径成分。我们通过联合设计通信预编码器、雷达发送波形和接收滤波器来解决这个挑战。具体来说,最大化雷达接收机的信干噪比(SINR),并同时考虑雷达波形、通信速率和发送功率的约束条件。多径传播使得雷达SINR和通信速率表达式变得复杂,导致非凸问题。为了解决这个问题,本文采用交替最大化算法迭代地优化预编码器、雷达发送波形和接收滤波器,得到次优解。提供了仿真结果以证明所提出的设计的有效性。