Yang Bo, Xu Qing, Yang Shuna, Chi Hao
Appl Opt. 2022 Feb 20;61(6):1344-1348. doi: 10.1364/AO.450386.
In this paper, an approach to realizing wideband sparse signal acquisition with an ultrahigh sampling compression ratio based on continuous-time photonic time stretch (CT-PTS) and photonic compressive sampling (PCS) is proposed and experimentally demonstrated. In the system, a wideband sparse signal is slowed down in the time domain by a CT-PTS module and then down-sampled and reconstructed by a random-demodulator-based PCS scheme in which random mixing is realized with a pseudo-random binary sequence. Virtual time gating based on wavelength-to-time mapping and wavelength division multiplexing is used to realize CT-PTS to increase the length of the sampling window and finally improve the performance of PCS. In addition, single sideband modulation is employed to solve the problem of dispersion-induced power fading in PTS and therefore increase the bandwidth of the system. Due to the techniques of CT-PTS and PCS, wideband sparse signals can be acquired with sampling rates far below the Nyquist rate of the original signal. In the experiment, a sparse signal within 2-40 GHz bandwidth is successfully recovered with a sampling rate of 800 MS/s, which means a sampling compression ratio as high as 100.
本文提出并通过实验证明了一种基于连续时间光子时间拉伸(CT-PTS)和光子压缩采样(PCS)实现具有超高采样压缩率的宽带稀疏信号采集的方法。在该系统中,宽带稀疏信号由CT-PTS模块在时域中减慢,然后通过基于随机解调器的PCS方案进行下采样和重构,其中随机混频通过伪随机二进制序列实现。基于波长到时间映射和波分复用的虚拟时间选通用于实现CT-PTS,以增加采样窗口的长度并最终提高PCS的性能。此外,采用单边带调制来解决PTS中色散引起的功率衰落问题,从而增加系统的带宽。由于CT-PTS和PCS技术,可以以远低于原始信号奈奎斯特速率的采样率采集宽带稀疏信号。在实验中,成功以800 MS/s的采样率恢复了带宽在2-40 GHz内的稀疏信号,这意味着采样压缩率高达100。