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Processing Accuracy of Microcomb-Based Microwave Photonic Signal Processors for Different Input Signal Waveforms

by Mitchell, Arnan , Morandotti, Roberto , Xu, Xingyuan , Sun, Yang , Chu, Sai T. , Little, Brent. E. , Corcoran, Bill , Wu, Jiayang , Li, Yang , Moss, David J. , Ren, Guanghui

in Accuracy / Bandwidths / Data processing services / Electromagnetic interference / Electromagnetism / Lasers / Liu, Timothy / microwave photonic / Microwave photonics / optical microcombs / Optics / Power / Processors / Signal processing / Theoretical analysis / Waveforms / Wavelength

2023

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Processing Accuracy of Microcomb-Based Microwave Photonic Signal Processors for Different Input Signal Waveforms

by Mitchell, Arnan , Morandotti, Roberto , Xu, Xingyuan , Sun, Yang , Chu, Sai T. , Little, Brent. E. , Corcoran, Bill , Wu, Jiayang , Li, Yang , Moss, David J. , Ren, Guanghui

2023

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Processing Accuracy of Microcomb-Based Microwave Photonic Signal Processors for Different Input Signal Waveforms

by Mitchell, Arnan , Morandotti, Roberto , Xu, Xingyuan , Sun, Yang , Chu, Sai T. , Little, Brent. E. , Corcoran, Bill , Wu, Jiayang , Li, Yang , Moss, David J. , Ren, Guanghui

2023

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Journal Article

Processing Accuracy of Microcomb-Based Microwave Photonic Signal Processors for Different Input Signal Waveforms

Mitchell, Arnan,

Morandotti, Roberto,

Xu, Xingyuan,

Sun, Yang,

Chu, Sai T.,

Little, Brent. E.,

Corcoran, Bill,

Wu, Jiayang,

Li, Yang,

Moss, David J.,

Ren, Guanghui

2023

Overview

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.

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Publisher

MDPI AG

Subject

Accuracy

/ Bandwidths

/ Data processing services

/ Electromagnetic interference

/ Electromagnetism

/ Lasers

/ Liu, Timothy