Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > ACPC > 2018 > M2G > M2G.5
  • Asia Communications and Photonics Conference (ACP) 2018
  • OSA Technical Digest (Optica Publishing Group, 2018),
  • paper M2G.5

Polarization-dependent High Quality Optical Frequency Comb Generator Based on Recirculating Frequency Shift

Tao Lin, Shanghong Zhao, Zihang Zhu, Xuan Li, Kun Zhang, and Wei Jiang

Not Accessible

Your library or personal account may give you access

Abstract

A polarization-dependent optical frequency comb (OFC) generation scheme based on recirculating frequency shift (RFS) is proposed and demonstrated. A dual-parallel Mach-Zehnder modulator (DPMZM) is employed to perform the carrier suppressed single sideband (CS-SSB) modulation and a polarization modulator (PolM) is adopted to generate a 5-line OFC. They are working in two orthogonal polarizations, respectively. The simulation results show that the proposed scheme can generate a 120-line OFC with flatness of 3.91 dB.

© 2018 The Author(s)

PDF Article
More Like This
Flat Optical Frequency Comb Generation Based on Intensity Modulator with RF Frequency Multiplication Circuit and Dual-parallel Mach-Zehnder Modulator

Xiaoli Liu, Xiang Li, Mengmeng Sheng, Yongfeng Wei, and Caili Gong
M4A.353 Asia Communications and Photonics Conference (ACP) 2020

Self-Oscillating Broadband Optical Frequency Comb Generation Using an EML-Based Optoelectronic Oscillator and a Recirculating Frequency Shifter

Quanjing Zhao and Juanjuan Yan
W2E.3 Asia Communications and Photonics Conference (ACP) 2021

An optical frequency comb with high carrier-to-noise ratio based on interleaved recirculating frequency shifter

Xiangyu Wu, Bo Liu, Lijia Zhang, Yaya Mao, Xing Xu, Jianxin Ren, Bo Tian, Ying Zhang, and Xiangjun Xin
Su2A.127 Asia Communications and Photonics Conference (ACP) 2018

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use