Version 1
: Received: 24 September 2020 / Approved: 25 September 2020 / Online: 25 September 2020 (07:46:28 CEST)
How to cite:
Tan, M.; Xu, X.; Wu, J.; Moss, D.J. RF Photonic Signal Processing with Kerr Micro-Combs: Integration, Fractional Differentiation and Hilbert Transforms. Preprints2020, 2020090597 (doi: 10.20944/preprints202009.0597.v1).
Tan, M.; Xu, X.; Wu, J.; Moss, D.J. RF Photonic Signal Processing with Kerr Micro-Combs: Integration, Fractional Differentiation and Hilbert Transforms. Preprints 2020, 2020090597 (doi: 10.20944/preprints202009.0597.v1).
Cite as:
Tan, M.; Xu, X.; Wu, J.; Moss, D.J. RF Photonic Signal Processing with Kerr Micro-Combs: Integration, Fractional Differentiation and Hilbert Transforms. Preprints2020, 2020090597 (doi: 10.20944/preprints202009.0597.v1).
Tan, M.; Xu, X.; Wu, J.; Moss, D.J. RF Photonic Signal Processing with Kerr Micro-Combs: Integration, Fractional Differentiation and Hilbert Transforms. Preprints 2020, 2020090597 (doi: 10.20944/preprints202009.0597.v1).
Abstract
Integrated Kerr micro-combs, a powerful source of many wavelengths for photonic RF and microwave signal processing, are particularly useful for transversal filter systems. They have many advantages including a compact footprint, high versatility, large numbers of wavelengths, and wide bandwidths. We review recent progress on photonic RF and microwave high bandwidth temporal signal processing based on Kerr micro-combs with spacings from 49-200GHz. We cover integral and fractional Hilbert transforms, differentiators as well as integrators. The potential of optical micro-combs for RF photonic applications in functionality and ability to realize integrated solutions is also discussed.
Subject Areas
microcombs; RF; microwave signal processing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.