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Maximizing the performance for microcomb based microwave photonic transversal signal processors

Authors :
Sun, Yang
Wu, Jiayang
Li, Yang
Xu, Xingyuan
Ren, Guanghui
Tan, Mengxi
Chu, Sai Tak
Little, Brent E.
Morandotti, Roberto
Mitchell, Arnan
Moss, David J.
Source :
Journal of Lightwave Technology Volume 41, (2023)
Publication Year :
2023

Abstract

Microwave photonic (MWP) transversal signal processors offer a compelling solution for realizing versatile high-speed information processing by combining the advantages of reconfigurable electrical digital signal processing and high-bandwidth photonic processing. With the capability of generating a number of discrete wavelengths from micro-scale resonators, optical microcombs are powerful multi-wavelength sources for implementing MWP transversal signal processors with significantly reduced size, power consumption, and complexity. By using microcomb-based MWP transversal signal processors, a diverse range of signal processing functions have been demonstrated recently. In this paper, we provide a detailed analysis for the processing inaccuracy that is induced by the imperfect response of experimental components. First, we investigate the errors arising from different sources including imperfections in the microcombs, the chirp of electro-optic modulators, chromatic dispersion of the dispersive module, shaping errors of the optical spectral shapers, and noise of the photodetector. Next, we provide a global picture quantifying the impact of different error sources on the overall system performance. Finally, we introduce feedback control to compensate the errors caused by experimental imperfections and achieve significantly improved accuracy. These results provide a guide for optimizing the accuracy of microcomb-based MWP transversal signal processors.<br />Comment: 15 pages, 12 figures, 60 references

Details

Database :
arXiv
Journal :
Journal of Lightwave Technology Volume 41, (2023)
Publication Type :
Report
Accession number :
edsarx.2309.07155
Document Type :
Working Paper
Full Text :
https://doi.org/10.1109/JLT.2023.3314526