单一的雷达指标和 通信指 标难以评价通信感知一体化(Integrated Sensing and Communication，ISAC)系统的整体性能，不同的ISAC应用场景对通信和雷达的性能需求不同。提出了 ISAC联合优化方案，能够将通信指标和雷达指标联合，并使一体化波形根据不同场景做适应性改变，提高了 ISAC系统整体性能。推导了雷达条件互信息(Mutual Information，MI)和通信数据信息速率(Data Information Rate，DIR)，在总功率的约束下，设计并实现了雷达MI和通信DIR的联合优化方案，通过求解凸函数优化问题得到了优化的发射功率，从而优化一体化波形。通过仿真和实验验证了联合优化方案的有效性，对比了基于正交频分复用(Orthogonal Frequency Division Multiplexing，OFDM)信号和正交啁啾分复用(Orthogonal Chirp Division Multiplexing，OCDM)信号调制的光子 太赫兹一体化系统的优化效果，得出OFDM 一体化系统具有更好的优化效果，性能提升较大。
Performance Joint Optimization for Integrated Sensing and Communication System Based on Multicarrier Modulation
It is challenging to evaluate the overall performance of the Integrated Sensing and Communication(ISAC)system by a single radar or communication indication.Our proposed joint optimization scheme can enhance the overall performance of the ISAC system by combining communication indicators and radar indicators to produce adaptable ISAC waveforms for various applications.First-ly,the radar Mutual Information(MI)and communication Data Information Rate(DIR)were derived.Then,under the constraint of total power,a joint optimization scheme for MI and DIR was designed and implemented.By solving the convex function optimization problem,the optimized transmission power was obtained,thereby optimizing the ISAC waveform.Finally,the effectiveness of the joint op-timization scheme was verified through simulation and experiments.We compared the optimization effect of Orthogonal Frequency Divi-sion Multiplexing(OFDM)and Orthogonal Chirp Division Multiplexing(OCDM)modulated photonic terahertz ISAC systems and found that the OFDM had an enhanced optimization effect and improved performance.
万方数据
维普
