Integrated sensing and communication improves the design of systems by combining sensing and communication functions for increased efficiency, accuracy, and cost savings. The optimal integration requires understanding the trade-off between sensing and communication, but this can be difficult due to the lack of unified performance metrics. In this paper, an information-theoretical approach is used to design the system with a unified metric. A sensing rate is introduced to measure the amount of information obtained by a pulse-Doppler radar system. An approximation and lower bound of the sensing rate is obtained in closed forms. Using both the derived sensing information and communication rates, the optimal bandwidth allocation strategy is found for maximizing the weighted sum of the spectral efficiency for sensing and communication. The simulation results confirm the validity of the approximation and the effectiveness of the proposed bandwidth allocation.

翻译：集成感知与通信通过融合感知与通信功能提升了系统设计的效率、准确性与成本效益。最优集成需要理解感知与通信之间的权衡，但由于缺乏统一性能指标，这一目标实现困难。本文采用信息论方法，以统一指标进行系统设计。引入感知速率概念，用于度量脉冲多普勒雷达系统获取的信息量。推导出感知速率的近似表达式及闭式下界。基于所推导的感知信息量与通信速率，确定了以最大化感知与通信频谱效率加权和为目标的最优带宽分配策略。仿真结果验证了近似表达式的有效性及所提带宽分配方法的可行性。