Photonics (Nov 2022)

Broadband Signal Digitization Based on Low-Speed Non-Uniform Photonic Sampling

  • Weiqiang Lyu,
  • Zhengkai Li,
  • Lingjie Zhang,
  • Huan Tian,
  • Zhenwei Fu,
  • Zhiyao Zhang,
  • Bao Sun,
  • Yali Zhang,
  • Shangjian Zhang,
  • Heping Li,
  • Yong Liu

DOI
https://doi.org/10.3390/photonics9110831
Journal volume & issue
Vol. 9, no. 11
p. 831

Abstract

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A new non-uniform photonic sampling (NPS) strategy and its special signal reconstruction algorithm are proposed to achieve digital acquisition of broadband periodic signals at a low sampling rate. Compared with the existing schemes, the NPS strategy can largely reduce the sampling number to acquire identical signal information as that obtained by using its equivalent high-speed uniform photonic sampling, which is beneficial for reducing the sampling time and the data volume of the NPS-based analog-to-digital converter (ADC). In addition, the calculation time of the proposed algorithm is millions of times lower than that of the digital alias-free signal processing (DASP) algorithm used before, which benefits from the fast Fourier transform calculation of a one-dimensional data array instead of a two-dimensional data array calculation in the DASP algorithm. A simulation is performed to validate the feasibility of the proposed scheme. In the simulation, a single-channel NPS-based ADC with an average sampling rate of 1 GSa/s is demonstrated by using the proposed NPS strategy and signal reconstruction algorithm. The results indicate the reconstructed signal information for a single-tone microwave signal at 9.9 GHz and a linear frequency modulation signal in the frequency range of 1 GHz to 9 GHz are identical to those obtained by using its equivalent high-speed uniform photonic sampling-based ADC with a sampling rate of 20 GSa/s.

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