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.
Keywords
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.
Mengxi Tan