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

Autor: Zhang W; Department of Electrical and Computer Engineering, Princeton University, Princeton, 08544, NJ, USA. weipengz@princeton.edu., Tait A; Department of Electrical and Computer Engineering, Queen's University, Kingston, K7L 3N6, ON, Canada., Huang C; Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China., Ferreira de Lima T; Department of Electrical and Computer Engineering, Princeton University, Princeton, 08544, NJ, USA.; NEC Laboratories America, Princeton, 08540, NJ, USA., Bilodeau S; Department of Electrical and Computer Engineering, Princeton University, Princeton, 08544, NJ, USA., Blow EC; Department of Electrical and Computer Engineering, Princeton University, Princeton, 08544, NJ, USA., Jha A; Department of Electrical and Computer Engineering, Princeton University, Princeton, 08544, NJ, USA., Shastri BJ; Department of Physics, Engineering Physics & Astronomy, Queen's University, Kingston, K7L 3N6, ON, Canada., Prucnal P; Department of Electrical and Computer Engineering, Princeton University, Princeton, 08544, NJ, USA. prucnal@princeton.edu.
Jazyk: angličtina
Zdroj: Nature communications [Nat Commun] 2023 Feb 27; Vol. 14 (1), pp. 1107. Date of Electronic Publication: 2023 Feb 27.
DOI: 10.1038/s41467-023-36814-4
Abstrakt: The expansion of telecommunications incurs increasingly severe crosstalk and interference, and a physical layer cognitive method, called blind source separation (BSS), can effectively address these issues. BSS requires minimal prior knowledge to recover signals from their mixtures, agnostic to the carrier frequency, signal format, and channel conditions. However, previous electronic implementations did not fulfil this versatility due to the inherently narrow bandwidth of radio-frequency (RF) components, the high energy consumption of digital signal processors (DSP), and their shared weaknesses of low scalability. Here, we report a photonic BSS approach that inherits the advantages of optical devices and fully fulfils its "blindness" aspect. Using a microring weight bank integrated on a photonic chip, we demonstrate energy-efficient, wavelength-division multiplexing (WDM) scalable BSS across 19.2 GHz processing bandwidth. Our system also has a high (9-bit) resolution for signal demixing thanks to a recently developed dithering control method, resulting in higher signal-to-interference ratios (SIR) even for ill-conditioned mixtures.
(© 2023. The Author(s).)
Databáze: MEDLINE
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