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基于连续时间光子时间拉伸和光子压缩采样的超高采样压缩比宽带稀疏信号采集

Wideband sparse signal acquisition with ultrahigh sampling compression ratio based on continuous-time photonic time stretch and photonic compressive sampling.

作者信息

Yang Bo, Xu Qing, Yang Shuna, Chi Hao

出版信息

Appl Opt. 2022 Feb 20;61(6):1344-1348. doi: 10.1364/AO.450386.

Abstract

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.

摘要

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。

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