Broadband physical layer cognitive radio with an integrated photonic processor for blind source separation

Weipeng Zhang; Alexander Tait; Chaoran Huang; Thomas Ferreira de Lima; Simon Bilodeau; Eric C. Blow; Aashu Jha; Bhavin J. Shastri; Paul Prucnal

doi:10.1038/s41467-023-36814-4

Nature Communications (Feb 2023)

Broadband physical layer cognitive radio with an integrated photonic processor for blind source separation

Weipeng Zhang,
Alexander Tait,
Chaoran Huang,
Thomas Ferreira de Lima,
Simon Bilodeau,
Eric C. Blow,
Aashu Jha,
Bhavin J. Shastri,
Paul Prucnal

Affiliations

Weipeng Zhang: Department of Electrical and Computer Engineering, Princeton University
Alexander Tait: Department of Electrical and Computer Engineering, Queen’s University
Chaoran Huang: Department of Electronic Engineering, The Chinese University of Hong Kong
Thomas Ferreira de Lima: Department of Electrical and Computer Engineering, Princeton University
Simon Bilodeau: Department of Electrical and Computer Engineering, Princeton University
Eric C. Blow: Department of Electrical and Computer Engineering, Princeton University
Aashu Jha: Department of Electrical and Computer Engineering, Princeton University
Bhavin J. Shastri: Department of Physics, Engineering Physics & Astronomy, Queen’s University
Paul Prucnal: Department of Electrical and Computer Engineering, Princeton University

DOI: https://doi.org/10.1038/s41467-023-36814-4
Journal volume & issue: Vol. 14, no. 1
pp. 1 – 10

Abstract

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The authors present an integrated photonic processor for blind source separation (BSS) to address broadband radio-frequency interference issues. The photonic BSS achieves 19.2 GHz processing bandwidth with highly energy-efficient BSS processing of sub-15 nanosecond latency.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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