microwave photonic filters
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2021 ◽  
Author(s):  
David Moss

Abstract We demonstrate high-resolution photonic RF filters using an RF bandwidth scaling approach based on integrated Kerr optical micro-combs. By employing both an active nonlinear micro-ring resonator (MRR) as a high-quality micro-comb source and a passive high-Q MRR to slice the shaped comb, a large RF instantaneous bandwidth of 4.64 GHz and a high resolution of 117 MHz are achieved, together with a broad RF operation band covering 3.28 to 19.4 GHz (L to Ku bands) using thermal tuning. We achieve programmable RF transfer functions including binary-coded notch filters and RF equalizing filters with reconfigurable slopes. Our approach is an attractive solution for high performance RF spectral shaping with high performance and flexibility.


2021 ◽  
Vol 13 (4) ◽  
pp. 1-4
Author(s):  
Georgios Charalambous ◽  
G.K.M. Hasanuzzaman ◽  
Andreas Perentos ◽  
Stavros Iezekiel

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1473
Author(s):  
Blaise Tshibangu-Mbuebue ◽  
Roberto Rojas Laguna ◽  
Min Won Lee ◽  
Jorge Rodríguez-Asomoza ◽  
Ignacio Enrique Zaldívar-Huerta

Microwave photonic filters (MPFs) with the capabilities of bandwidth reconfigurability and frequency tunability in the GHz range are of great interest in high-speed communications systems. In this paper, we propose a new reconfigurable multiband microwave photonic filter (MPF) using a tunable Fabry–Perot Filter (FPF). It is demonstrated by numerical simulations that the modification of the intermodal separation (δλ) of a multimode laser diode (MLD) by tunable FPF allows for the reconfigurable multi-passband of the MPF. Our simulation results show that our new filter system is promising to communications systems.


2021 ◽  
Author(s):  
Neel Choksi ◽  
Yi Liu ◽  
Rojina Ghasemi ◽  
Li Qian

Abstract Ultra-narrow optical spectral features have broad applications in spectroscopy, slow light, and sensing. Features approaching sub-MHz, or equivalently, Q-factors approaching 1 billion and beyond, are challenging to obtain in solid-state systems, ultimately limited by loss. We present a new paradigm to achieve tunable sub-MHz spectral features at room temperature without resonators. We exploit gain-enhanced polarization pulling in a twisted birefringent medium where polarization eigenmodes are frequency-dependent. Using Brillouin gain in a commercial spun fiber, we experimentally achieve a 0.72 MHz spectral dip, the narrowest backward Brillouin scattering feature ever reported. Further optimization can potentially reduce the linewidth to <0.1 MHz. Our approach is simple and broadly applicable, offering on-demand tunability and high sensitivity, opening a new paradigm for microwave photonic filters, slow light, and optical sensing.


2021 ◽  
Author(s):  
Neel Choksi ◽  
Yi Liu ◽  
Rojina Ghasemi ◽  
Li Qian

Abstract Ultra-narrow optical spectral features have broad applications in spectroscopy, slow light, and sensing. Features approaching sub-MHz, or equivalently, Q-factors approaching 1 billion and beyond, are challenging to obtain in solid-state systems, ultimately limited by loss. We present a new paradigm to achieve tunable sub-MHz spectral features at room temperature without resonators. We exploit gain-enhanced polarization pulling in a twisted birefringent medium where polarization eigenmodes are frequency-dependent. Using Brillouin gain in a commercial spun fiber, we experimentally achieve a 0.72 MHz spectral dip, the narrowest backward Brillouin scattering feature ever reported. Further optimization can potentially reduce the linewidth to <0.1 MHz. Our approach is simple and broadly applicable, offering on-demand tunability and high sensitivity, opening a new paradigm for microwave photonic filters, slow light, and optical sensing.


Optica ◽  
2021 ◽  
Author(s):  
Moshe Katzman ◽  
Dvir Munk ◽  
Maayan Priel ◽  
Etai Grunwald ◽  
Mirit Hen ◽  
...  

2021 ◽  
Vol 13 (1) ◽  
pp. 1-11
Author(s):  
G. K. M. Hasanuzzaman ◽  
Haymen Shams ◽  
Cyril C. Renaud ◽  
John Mitchell ◽  
Alwyn J. Seeds ◽  
...  

2021 ◽  
Author(s):  
Yang Liu ◽  
Amol Choudhary ◽  
David Marpaung ◽  
Benjamin J. Eggleton

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