Yang Bo, Yang Shuna, Cao Zizheng, Ou Jun, Zhai Yanrong, Chi Hao
Opt Lett. 2020 Oct 15;45(20):5708-5711. doi: 10.1364/OL.403782.
A novel approach to realizing compressive sensing (CS) of sparse radio frequency (RF) signals based on photonic random demodulation (RD) is proposed. The key function of mixing the RF signal under test and the bipolar pseudo-random binary sequence (PRBS) in photonic RD is implemented with a single dual-electrode Mach-Zehnder modulator (DEMZM). By properly setting the DC bias of the DEMZM at and the voltages of the PRBS at ±/2, a pure desired multiplication term between the signal and the bipolar PRBS is obtained after an AC-coupled photodetector (PD), which not only simplifies the modeling of the CS link but also improves the recovery performance. A proof-of-concept experiment is demonstrated where a sparse signal with spectral components of 500 MHz and 950 MHz is successfully identified with a compression ratio of 20. Simulation results are also given to show the advantage of the given photonic CS scheme with bipolar random mixing.
提出了一种基于光子随机解调（RD）实现稀疏射频（RF）信号压缩感知（CS）的新方法。在光子RD中，将被测RF信号与双极性伪随机二进制序列（PRBS）进行混频的关键功能由单个双电极马赫-曾德尔调制器（DEMZM）实现。通过将DEMZM的直流偏置适当地设置为 以及将PRBS的电压设置为±/2，在交流耦合光电探测器（PD）之后可获得信号与双极性PRBS之间的纯期望乘法项，这不仅简化了CS链路的建模，还提高了恢复性能。展示了一个概念验证实验，其中成功识别出具有500 MHz和950 MHz频谱分量的稀疏信号，压缩比为20。还给出了仿真结果，以展示给定的具有双极性随机混频的光子CS方案的优势。
