Processing Accuracy of Microcomb-Based Microwave Photonic Signal Processors for Different Input Signal Waveforms
Yang Li,
Yang Sun,
Jiayang Wu,
Guanghui Ren,
Bill Corcoran,
Xingyuan Xu,
Sai T. Chu,
Brent. E. Little,
Roberto Morandotti,
Arnan Mitchell,
David J. Moss
Affiliations
Yang Li
Optical Sciences Center, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
Yang Sun
Optical Sciences Center, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
Jiayang Wu
Optical Sciences Center, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
Guanghui Ren
Integrated Photonics and Applications Centre, School of Engineering, RMIT University, Melbourne, VIC 3000, Australia
Bill Corcoran
Photonic Communications Laboratory, Department Electrical and Computer Systems Engineering, Monash University, Clayton, VIC 3800, Australia
Xingyuan Xu
State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China
Sai T. Chu
Department of Physics, City University of Hong Kong, Hong Kong
Brent. E. Little
The State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, China
Roberto Morandotti
Institut National de la Recherche Scientifique—Énergie, Matériaux et Télécommunications, Varennes, QC J3X 1S2, Canada
Arnan Mitchell
Integrated Photonics and Applications Centre, School of Engineering, RMIT University, Melbourne, VIC 3000, Australia
David J. Moss
Optical Sciences Center, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
Microwave photonic (MWP) signal processors, which process microwave signals based on photonic technologies, bring advantages intrinsic to photonics such as low loss, large processing bandwidth, and strong immunity to electromagnetic interference. Optical microcombs can offer a large number of wavelength channels and compact device footprints, which make them powerful multi-wavelength sources for MWP signal processors to realize a variety of processing functions. In this paper, we experimentally demonstrate the capability of microcomb-based MWP signal processors to handle diverse input signal waveforms. In addition, we quantify the processing accuracy for different input signal waveforms, including Gaussian, triangle, parabolic, super Gaussian, and nearly square waveforms. Finally, we analyse the factors contributing to the difference in the processing accuracy among the different input waveforms, and our theoretical analysis well elucidates the experimental results. These results provide guidance for microcomb-based MWP signal processors when processing microwave signals of various waveforms.
