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Photonic integrated field-programmable disk array signal processor.

Weifeng Zhang1, Jianping Yao2

  • 1Microwave Photonic Research Laboratory, School of Electrical Engineering and Computer Science, University of Ottawa, 25 Templeton Street, Ottawa, ON, K1N 6N5, Canada.

Nature Communications
|January 23, 2020
PubMed
Summary
This summary is machine-generated.

Field-programmable disk arrays (FPDAs) offer a photonic solution to overcome limitations in electronic signal processing. This scalable FPDA processor uses microdisk resonators for ultrafast, low-power signal manipulation.

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Area of Science:

  • Photonics
  • Optical Signal Processing
  • Big Data Analytics

Background:

  • Field-programmable gate arrays (FPGAs) are crucial for signal processing but face limitations in speed and power efficiency due to electronic constraints.
  • The increasing volume of digital data necessitates advanced solutions for big data analytics, where FPGAs are prominent.
  • Photonics offers a promising alternative due to its inherent advantages in speed and low power consumption.

Purpose of the Study:

  • To propose a scalable photonic field-programmable disk array (FPDA) signal processor.
  • To leverage microdisk resonators as fundamental units for optical signal processing.
  • To demonstrate the versatility of the FPDA for diverse signal processing functions.

Main Methods:

  • Development of a scalable photonic architecture based on a field-programmable disk array (FPDA).
  • Utilization of ultra-compact microdisk resonators as core execution units for routing, storing, and processing optical signals.
  • Field-programming the FPDA to realize various circuit topologies for specific signal processing tasks.

Main Results:

  • The proposed FPDA processor enables diverse circuit topologies through field-programming.
  • The system effectively performs multiple signal processing functions, including filtering, temporal differentiation, time delay, beamforming, and spectral shaping.
  • Microdisk resonators serve as efficient building blocks for optical signal manipulation within the FPDA.

Conclusions:

  • The photonic FPDA processor presents a scalable and efficient solution for advanced signal processing, overcoming limitations of traditional electronic methods.
  • The use of microdisk resonators facilitates ultrafast and low-power optical signal processing.
  • This technology holds significant potential for applications in big data analytics and other fields requiring high-performance signal manipulation.