The focus of this study is on the spectrum sharing between multiple-input multiple-output (MIMO) communications and co-located pulsed 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. The radar receive filter can be updated by a closed-form solution. The communication precoder and radar transmit waveform can be obtained by the successive convex approximation and alternating direction method of multipliers. Simulation results are provided to demonstrate the effectiveness of the proposed design.
翻译:这项研究的重点是多输出多输出通信和多路径环境中多输入多输出、雷达传输波形和接收过滤器之间的频谱共享。主要挑战在于抑制两个系统之间的相互干扰,同时结合每个系统收到的有用的多路径组件。我们通过联合设计通信预码器、雷达传输波形和雷达接收器来应对这一挑战。具体地说,雷达接收器的信号到干涉加噪声比率(SINR)最大化,但受雷达波形、通信速率和传输功率的限制。多路径传播使雷达SINR和通信速率的表达复杂化,导致非对流问题。为了解决这个问题,采用了基于交替最大化的亚优化算法来优化预码、雷达传送波形和接收过滤器。雷达接收的过滤器可以通过封闭式解决方案进行更新。通信预码和雷达传输波形可以通过相近和交替的乘数方向方法获得。提供了模拟结果,以显示拟议设计的有效性。