Yan Hengxin, Li Xinying, Pan Xiaolong, Xie Tangyao, Fang Liye, Bi Jiahao, Geng Xuanqing, Xin Xiangjun
Opt Lett. 2024 Sep 15;49(18):5280-5283. doi: 10.1364/OL.537847.
Integrated sensing and communication (ISAC) systems will play a potential role in the upcoming six-generation (6G) networks. The reason is that ISAC systems can effectively solve the spectrum resource shortage problem and decrease the cost of deploying hardware equipment for simultaneously realizing communication and sensing. In this Letter, we successfully realize a W-band photonic-aided millimeter-wave (mm-wave) ISAC system enabled by a shared orthogonal-frequency-division-multiplexing (OFDM) signal waveform and two-stage carrier frequency recovery (CFR) algorithm. The digital-signal-processing (DSP)-based two-stage CFR algorithm includes the first-stage fractional frequency offset (FFO) estimation and compensation as well as the second-stage integer frequency offset (IFO) estimation and compensation. We experimentally analyze and verify that, with the introduction of the two-stage CFR algorithm, the system robustness to carrier frequency offset can be significantly enhanced. We also experimentally demonstrate, based on the ISAC system and our receiver DSP, a net data rate of up to 47.54 Gbit/s with a total signal bandwidth of 16 GHz over a 5.2 m wireless link at 94.5 GHz. Moreover, the sensing results indicate that the ISAC system can realize the detection of one target 2 m away from the transmitter with a ranging resolution of 0.98 cm and a ranging error of 4 mm. The system is anticipated to facilitate diverse potential applications in future 6G networks.
集成传感与通信(ISAC)系统将在即将到来的第六代(6G)网络中发挥潜在作用。原因在于,ISAC系统能够有效解决频谱资源短缺问题,并降低同时实现通信和传感所需的硬件设备部署成本。在本信函中,我们成功实现了一种基于共享正交频分复用(OFDM)信号波形和两级载波频率恢复(CFR)算法的W波段光子辅助毫米波(mm-wave)ISAC系统。基于数字信号处理(DSP)的两级CFR算法包括第一级分数频率偏移(FFO)估计与补偿以及第二级整数频率偏移(IFO)估计与补偿。我们通过实验分析并验证,引入两级CFR算法后,系统对载波频率偏移的鲁棒性可显著增强。我们还基于该ISAC系统和我们的接收机DSP进行了实验演示,在94.5GHz的5.2m无线链路中,总信号带宽为16GHz时净数据速率高达47.54Gbit/s。此外,传感结果表明,该ISAC系统能够实现对距离发射机2m处一个目标的检测,测距分辨率为0.98cm,测距误差为4mm。预计该系统将推动未来6G网络中的各种潜在应用。