Distributed multiple-input multiple-output (MIMO) dual-function radar-communication (DFRC) configuration, which is composed of multiple distributed dual-function transmitters, multiple radar receivers and multiple communication receivers, are capable of performing target state estimation and information transferring tasks simultaneously. In this article, the authors put forward a low probability of intercept (LPI)-based power resource allocation (PRA) scheme for the distributed MIMO-DFRC system. The key mechanism of the LPI-PRA scheme is to minimize the total power consumption of the overall system by optimizing the radiation power allocation of different dual-function transmitters subject to a predefined target parameter estimation accuracy for radar purpose and a certain wireless communication performance for communication purpose, leading to an improved LPI performance of the distributed MIMO-DFRC system. The closed-form expression for Cramér-Rao lower bound (CRLB) is derived to gauge the target position and velocity estimation performance, and the communication data rate (CDR) is adopted as the performance metric for data transmission. Subsequently, an efficient three-stage solution algorithm is put forward to tackle with the resulting constrained, non-linear, and non-convex optimization problem by exploiting the semi-definite programming (SDP) and Karush-Kuhn-Tuckers (KKT) necessary conditions. Simulation results demonstrate that the proposed LPI-PRA scheme is able to deliver superior LPI performance in terms of minimizing the total power consumption of the distributed MIMO-DFRC system, compared with other power resource allocation algorithms.

由多个分布式双功能发射器，多个雷达接收器和多个通信接收器组成的分布式多输入多输出（MIMO）双功能雷达通信（DFRC）配置能够执行目标状态估计和信息传递同时执行任务。在本文中，作者提出了用于分布式MIMO-DFRC系统的基于拦截（LPI）的低功率资源分配（PRA）方案。LPI-PRA方案的关键机制是通过优化不同双功能发射机的辐射功率分配，以达到雷达目标的预定目标参数估计精度和特定无线通信性能，从而最大程度地降低整个系统的总功耗。沟通目的 从而提高了分布式MIMO-DFRC系统的LPI性能。得出Cramér-Rao下界（CRLB）的闭式表达式，以衡量目标位置和速度估计性能，并采用通信数据速率（CDR）作为数据传输的性能指标。随后，提出了一种有效的三阶段求解算法，通过利用半定规划（SDP）和Karush-Kuhn-Tuckers（KKT）必要条件来解决由此产生的约束，非线性和非凸优化问题。 。仿真结果表明，与其他电源分配算法相比，所提出的LPI-PRA方案在使分布式MIMO-DFRC系统的总功耗最小化方面能够提供出色的LPI性能。