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Daulay O, Liu G, Ye K, Botter R, Klaver Y, Tan Q, Yu H, Hoekman M, Klein E, Roeloffzen C, Liu Y, Marpaung D. Ultrahigh dynamic range and low noise figure programmable integrated microwave photonic filter. Nat Commun 2022; 13:7798. [PMID: 36528603 PMCID: PMC9759590 DOI: 10.1038/s41467-022-35485-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 12/01/2022] [Indexed: 12/23/2022] Open
Abstract
Microwave photonics has adopted a number of important concepts and technologies over the recent pasts, including photonic integration, versatile programmability, and techniques for enhancing key radio frequency performance metrics such as the noise figure and the dynamic range. However, to date, these aspects have not been achieved simultaneously in a single circuit. Here, we report a multi-functional photonic integrated circuit that enables programmable filtering functions with record-high performance. We demonstrate reconfigurable filter functions with record-low noise figure and a RF notch filter with ultra-high dynamic range. We achieve this unique feature using versatile complex spectrum tailoring enabled by an all integrated modulation transformer and a double injection ring resonator as a multi-function optical filtering component. Our work breaks the conventional and fragmented approach of integration, functionality and performance that currently prevents the adoption of integrated MWP systems in real applications.
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Affiliation(s)
- Okky Daulay
- Nonlinear Nanophotonics Group, MESA+ Institute of Nanotechnology, University of Twente, Enschede, Netherlands
| | - Gaojian Liu
- Nonlinear Nanophotonics Group, MESA+ Institute of Nanotechnology, University of Twente, Enschede, Netherlands
- China Academy of Space Technology (Xi'an), Xi'an, China
| | - Kaixuan Ye
- Nonlinear Nanophotonics Group, MESA+ Institute of Nanotechnology, University of Twente, Enschede, Netherlands
| | - Roel Botter
- Nonlinear Nanophotonics Group, MESA+ Institute of Nanotechnology, University of Twente, Enschede, Netherlands
| | - Yvan Klaver
- Nonlinear Nanophotonics Group, MESA+ Institute of Nanotechnology, University of Twente, Enschede, Netherlands
| | - Qinggui Tan
- China Academy of Space Technology (Xi'an), Xi'an, China
| | - Hongxi Yu
- China Academy of Space Technology (Xi'an), Xi'an, China
| | | | - Edwin Klein
- LioniX International BV, Enschede, Netherlands
| | | | - Yang Liu
- Institute of Physics, Swiss Federal Institute of Technology Lausanne (EPFL), CH-1015, Lausanne, Switzerland
| | - David Marpaung
- Nonlinear Nanophotonics Group, MESA+ Institute of Nanotechnology, University of Twente, Enschede, Netherlands.
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Zhao L, Gou W, Zhang Z, Shen M, Zhang J, Zheng X, Peng Y, Jiang T. Deep-learning-assisted linearization for the broadband photonic scanning channelized receiver. OPTICS LETTERS 2022; 47:6021-6024. [PMID: 37219162 DOI: 10.1364/ol.474775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 10/20/2022] [Indexed: 05/24/2023]
Abstract
An autoencoder-residual (AE-Res) network is designated to assist the linearization of the wideband photonic scanning channelized receiver. It is capable of adaptively suppressing spurious distortions over multiple octaves of signal bandwidth, obviating the need for calculating the multifactorial nonlinear transfer functions. Proof-of-concept experiments indicate that the improvement of the third-order spur-free dynamic range (SFDR2/3) is 17.44 dB. Moreover, the results for real wireless communication signals demonstrate that the improvement of the spurious suppression ratio (SSR) is 39.69 dB and the reduction of the noise floor is ∼10 dB.
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