Demixing microwave signals using system-on-chip photonic processor

Sheng Gao; Chu Wu; Xing Lin

doi:10.1038/s41377-024-01404-6

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Demixing microwave signals using system-on-chip photonic processor

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- Demixing microwave signals using system-on-chip photonic processor
- Light: Science & Applications Vol. 13, Issue 3, Pages: 399-401(2024)
- Affiliations：
  
  1.Department of Electronic Engineering, Tsinghua University, 100084 Beijing, China
  2.Beijing National Research Center for Information Science and Technology, Tsinghua University, 100084 Beijing, China
- Author bio：
  
  Xing Lin (lin-x@tsinghua.edu.cn)
- Funds：
- DOI：10.1038/s41377-024-01404-6
  CLC：
- Published Online：27 February 2024，
  
  Published：31 March 2024
- Accepted：
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Gao, S., Wu, C. & Lin, X. Demixing microwave signals using system-on-chip photonic processor. Light: Science & Applications, 13, 399-401 (2024).
DOI：

Gao, S., Wu, C. & Lin, X. Demixing microwave signals using system-on-chip photonic processor. Light: Science & Applications, 13, 399-401 (2024). DOI： 10.1038/s41377-024-01404-6.

摘要

Abstract

The integrated photonic processor

co-packaged with electronic peripherals

is proposed for blind source separation of microwave signals

which separates signal-of-interest from dynamic interference with real-time adaptability.

关键词

Keywords

references

Bogaerts, W. et al. Programmable photonic circuits. Nature 586 , 207–216 (2020)..

Shen, Y. C. et al. Deep learning with coherent nanophotonic circuits. Nat. Photonics 11 , 441–446 (2017)..

Pai, S. et al. Experimentally realized in situ backpropagation for deep learning in photonic neural networks. Science 380 , 398–404 (2023)..

Yan, T. et al. All-optical graph representation learning using integrated diffractive photonic computing units. Sci. Adv. 8 , eabn7630 (2022)..

Tait, A. N. et al. Broadcast and weight: an integrated network for scalable photonic spike processing. J. Lightwave Technol. 32 , 4029–4041 (2014)..

Zhang, W. P. et al. Broadband physical layer cognitive radio with an integrated photonic processor for blind source separation. Nat. Commun. 14 , 1107 (2023)..

Feldmann, J. et al. Parallel convolutional processing using an integrated photonic tensor core. Nature 589 , 52–58 (2021)..

Marpaung, D., Yao, J. P. & Capmany, J. Integrated microwave photonics. Nat. Photonics 13 , 80–90 (2019)..

Dong, B. W. et al. Higher-dimensional pr ocessing using a photonic tensor core with continuous-time data. Nat. Photonics 17 , 1080–1088 (2023)..

Zhang, W. P. et al. A system-on-chip microwave photonic processor solves dynamic RF interference in real time with picosecond latency. Light Sci. Appl. 13 , 14 (2024)..

Zheng, Z. Y. et al. Dual adaptive training of photonic neural networks. Nat. Mach. Intell. 5 , 1119–1129 (2023)..

Lin, X. Artificial intelligence built on wireless signals. Nat. Electron. 5 , 69–70 (2022)..

Milanizadeh, M. et al. Separating arbitrary free-space beams with an integrated photonic processor. Light Sci. Appl. 11 , 197 (2022)..

SeyedinNavadeh, S. et al. Determining the optimal communication channels of arbitrary optical systems using integrated photonic processors. Nat. Photonics https://doi.org/10.1038/s41566-023-01330-w (2023).

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