太赫兹科学与电子信息学报, 2023, 21 (12): 1440, 网络出版: 2024-01-17
多天线感知通信一体化系统低相关性波形设计
Low-correlation waveform design for multi-antenna Integrated Sensing And Communication systems
感知通信一体化 波形设计 加权优化 梯度投影法 最大化最小化算法 Integrated Sensing And Communication waveform design weighted optimization gradient projection maximization-minimization
摘要
为实现多天线无线系统中感知和通信的一体化波形设计问题, 提出一种基于加权优化的目标函数, 在完成数据通信的同时, 降低各天线波形之间的互相关性。利用梯度投影法设计了最优通信波形并作为初始迭代点, 而后利用最大化最小化算法得到一体化波形设计结果。仿真结果表明, 设计的一体化波形实现了通信性能和感知性能的权衡, 可用于多天线感知通信一体化系统之中。
Abstract
To realize Integrated Sensing And Communication(ISAC) in multi-antenna wireless systems, the design of integrated waveform is studied. A weighted objective function is proposed to reduce the correlation between waveforms while enabling data communication. The gradient projection method is employed to obtain the initial iteration points, and then the maximization-minimization algorithm is applied to get the waveform design results. Simulation results show that the designed integrated waveform achieves the tradeoff between the performance of communication and sensing, and can be applied to actual wireless systems.
张智博, 常青, 赵娜, 徐昊. 多天线感知通信一体化系统低相关性波形设计[J]. 太赫兹科学与电子信息学报, 2023, 21(12): 1440. ZHANGZhibo, CHANG Qing, ZHAONa, XU Hao. Low-correlation waveform design for multi-antenna Integrated Sensing And Communication systems[J]. Journal of terahertz science and electronic information technology, 2023, 21(12): 1440.