Version 1
: Received: 24 October 2023 / Approved: 24 October 2023 / Online: 24 October 2023 (11:55:01 CEST)
How to cite:
Moss, D. Processing Accuracy of Microwave Photonic Signal Processors Based on Microcombs as a Function of Different Input Signal Waveforms. Preprints2023, 2023101541. https://doi.org/10.20944/preprints202310.1541.v1
Moss, D. Processing Accuracy of Microwave Photonic Signal Processors Based on Microcombs as a Function of Different Input Signal Waveforms. Preprints 2023, 2023101541. https://doi.org/10.20944/preprints202310.1541.v1
Moss, D. Processing Accuracy of Microwave Photonic Signal Processors Based on Microcombs as a Function of Different Input Signal Waveforms. Preprints2023, 2023101541. https://doi.org/10.20944/preprints202310.1541.v1
APA Style
Moss, D. (2023). Processing Accuracy of Microwave Photonic Signal Processors Based on Microcombs as a Function of Different Input Signal Waveforms. Preprints. https://doi.org/10.20944/preprints202310.1541.v1
Chicago/Turabian Style
Moss, D. 2023 "Processing Accuracy of Microwave Photonic Signal Processors Based on Microcombs as a Function of Different Input Signal Waveforms" Preprints. https://doi.org/10.20944/preprints202310.1541.v1
Abstract
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 analyze 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 a guidance for microcomb-based MWP signal processors when processing microwave signals of various waveforms.
Keywords
optical microcombs; microwave photonic; signal processing
Subject
Engineering, Electrical and Electronic Engineering
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.
