Sub-Nyquist optical pulse sampling for photonic blind source separation

被引:4
|
作者
Shi, Taichu [1 ]
Qi, Yang [1 ]
Zhang, Weipeng [2 ]
Prucnal, Paul [2 ]
Li, Jie [1 ]
Wu, Ben [1 ]
机构
[1] Rowan Univ, Dept Elect & Comp Engn, Glassboro, NJ 08028 USA
[2] Princeton Univ, Dept Elect Engn, Lightwave Commun Lab, Princeton, NJ 08544 USA
基金
美国国家科学基金会;
关键词
NETWORKS;
D O I
10.1364/OE.435282
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
We propose and experimentally demonstrate an optical pulse sampling method for photonic blind source separation. The photonic system processes and separates wideband signals based on the statistical information of the mixed signals, and thus the sampling frequency can be orders of magnitude lower than the bandwidth of the signals. The ultra-fast optical pulses collect samples of the signals at very low sampling rates, and each sample is short enough to maintain the statistical properties of the signals. The low sampling frequency reduces the workloads of the analog to digital conversion and digital signal processing systems. In the meantime, the short pulse sampling maintains the accuracy of the sampled signals, so the statistical properties of the under-sampled signals are the same as the statistical properties of the original signals. The linear power range measurement shows that the sampling system with ultra-narrow optical pulse achieves a 30dB power dynamic range. (C) 2022 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
引用
收藏
页码:19300 / 19310
页数:11
相关论文
共 50 条
  • [41] Parametric Estimation of UWB Signals with sub-Nyquist Sampling
    Pistea, Ana-Maria
    Nicolaescu, Ioan
    Radoi, Emanuel
    Tuta, Leontin
    2015 INTERNATIONAL SYMPOSIUM ON SIGNALS, CIRCUITS AND SYSTEMS (ISSCS), 2015,
  • [42] Predecision for Wideband Spectrum Sensing With Sub-Nyquist Sampling
    Xiong, Tianyi
    Li, Hongbin
    Qi, Peihan
    Li, Zan
    Zheng, Shilian
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (08) : 6908 - 6920
  • [43] Channel Capacity Under Sub-Nyquist Nonuniform Sampling
    Chen, Yuxin
    Goldsmith, Andrea J.
    Eldar, Yonina C.
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2014, 60 (08) : 4739 - 4756
  • [44] Multichannel Sub-Nyquist Sampling for Ultrasound Imaging Applications
    Pei, Zhijun
    Wang, Yaxin
    PROCEEDINGS OF 2018 IEEE 4TH INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC 2018), 2018, : 830 - 834
  • [45] Sub-Nyquist Sampling in Shift-Invariant Spaces
    Vlasic, Tin
    Sersic, Damir
    28TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2020), 2021, : 2284 - 2288
  • [46] A Cognitive Radio Architecture based on sub-Nyquist Sampling
    Wieruch, Dennis
    Pohl, Volker
    2011 IEEE INTERNATIONAL SYMPOSIUM ON DYNAMIC SPECTRUM ACCESS NETWORKS (DYSPAN), 2011, : 576 - 585
  • [47] Sub-Nyquist Measurement of LFM Pulse Stream Based on Signal Separation and Parameter Matching
    Fu, Ning
    Yun, Shuangxing
    Han, Bingtong
    Qiao, Liyan
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 72 : 1 - 15
  • [48] Joint DOA and frequency estimation with sub-Nyquist sampling
    Liu, Liang
    Gu, Jian-Feng
    Wei, Ping
    SIGNAL PROCESSING, 2019, 154 : 87 - 96
  • [49] A Novel Sub-Nyquist Sampling of Sparse Wideband Signals
    Lin, Chia-Hua
    Tsai, Shang-Ho
    Chuang, Gene C. H.
    2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2013, : 4628 - 4632
  • [50] Wideband Spectrum Sensing Based on Sub-Nyquist Sampling
    Yen, Chia-Pang
    Tsai, Yingming
    Wang, Xiaodong
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2013, 61 (12) : 3028 - 3040