Comb-based radiofrequency photonic filters with rapid tunability and high selectivity

By V. Supradeepa, C. Long, R. Wu, F. Ferdous, E. Hamidi, Daniel E. Leaird, Andrew M. Weiner. Nature Photonics, 2011

325 citations recorded by the source corpus.

Photonic technologies have received considerable attention regarding the enhancement of radiofrequency electrical systems, including high-frequency analogue signal transmission, control of phased arrays, analog-to-digital conversion and signal processing. Although the potential of radiofrequency photonics for the implementation of tunable electrical filters over broad radiofrequency bandwidths has been much discussed, the realization of programmable filters with highly selective filter lineshapes and rapid reconfigurability has faced significant challenges. A new approach for radiofrequency photonic filters based on frequency combs offers a potential route to simultaneous high stopband attenuation, fast tunability and bandwidth reconfiguration. In one configuration, tuning of the radiofrequency passband frequency is demonstrated with unprecedented (∼40 ns) speed by controlling the optical delay between combs. In a second, fixed filter configuration, cascaded four-wave mixing simultaneously broadens and smoothes the comb spectra, resulting in Gaussian radiofrequency filter lineshapes exhibiting an extremely high (>60 dB) main lobe to sidelobe suppression ratio and (>70 dB) stopband attenuation. Using electro-optically generated frequency combs, scientists demonstrate radiofrequency photonic filters that can potentially provide simultaneous high stopband attenuation, fast tunability and bandwidth reconfiguration.

Subfields: Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/02cfa149a20d151c00180baaab0f482149ec4d49

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atomic and Molecular Physics, and Optics

  1. David J. Moss
  2. Roberto Morandotti
  3. Xingyuan Xu
  4. Arnan Mitchell
  5. Jiayang Wu
  6. Mengxi Tan
  7. Brent E. Little
  8. Sai T. Chu

In Electrical and Electronic Engineering

  1. David J. Moss
  2. Roberto Morandotti
  3. Xingyuan Xu
  4. Arnan Mitchell
  5. Jiayang Wu
  6. Mengxi Tan
  7. Brent E. Little
  8. Sai T. Chu

Citations in the corpus