Microwave Photonic Frequency Measurement and Time-Frequency Analysis: Unlocking Bandwidths Over Hundreds of GHz With a 10-Nanosecond Temporal Resolution

  • Taixia Shi
  • , Chi Jiang
  • , Chulun Lin
  • , Fangyi Yang
  • , Yiqing Liu
  • , Fangzheng Zhang
  • , Yang Chen*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Fast and broadband spectrum sensing is an essential component in cognitive radio systems, intelligent transportation systems, electronic warfare systems, etc. However, traditional electronic-based solutions have a trade-off among the analysis bandwidth, temporal resolution, and real-time performance. In comparison, microwave photonic solutions can overcome the trade-off at the cost of frequency accuracy and resolution. Nevertheless, the reported microwave photonic solutions suffer from a very poor frequency resolution and impose extremely high requirements on hardware when the analysis bandwidth is close to or greater than 100 GHz. Here, we show a microwave photonic frequency measurement and time-frequency analysis method, which is implemented by dispersion-based frequency-to-time mapping (FTTM) and assisted by a specially designed V-shape linearly frequency-modulated (LFM) signal and a duty-cycle-enabling technique. Compared with the reported microwave photonic solutions, the hardware requirements are greatly reduced when achieving similar system performance and indicators. Using a total dispersion of −6817 ps/nm and a V-shape LFM signal with a bandwidth of 31.6 GHz and a duty cycle of 1/4, we achieve an ambiguity-free analysis bandwidth of 252.8 GHz, a corresponding temporal resolution of 13.75 ns and a frequency resolution of 1.1 GHz. The temporal resolution can be improved to 6.875 ns when the duty cycle is changed to 1/2, while the analysis bandwidth in this case is 126.4 GHz.

Original languageEnglish
Pages (from-to)4104-4115
Number of pages12
JournalIEEE Transactions on Microwave Theory and Techniques
Volume73
Issue number7
DOIs
StatePublished - 2025

Keywords

  • Frequency measurement
  • microwave photonics
  • optical dispersion
  • short-time Fourier transform
  • spectrum sensing
  • time-frequency analysis

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