Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 41,
  • Issue 9,
  • pp. 2631-2638
  • (2023)

Ultra-Wideband Wireless Channel and Environment Characterization Assisted by Dual Optical Frequency Comb

Not Accessible

Your library or personal account may give you access

Abstract

In this work, a photonic technique based on dual optical frequency comb is proposed to perform ultra-wideband channel sounding that delivers high-resolution channel characterization and high-speed environment monitoring. The proof-of-concept experiments demonstrate the continuous sounding of non-line-of-sight wireless channels with >TS/s sampling resolution and the revealing of an electric fan rotating at up to 1100 rpm. A wireless channel of 12 GHz bandwidth is covered using electronics with less than 60 MHz bandwidth, showcasing the high practicality of the proposed technique in assisting the evolution towards the integration of communication and sensing essential in the next generation of wireless communication.

PDF Article
More Like This
Flexible Multiband OFDM Ultra-Wideband Services Based on Optical Frequency Combs

Jing He, Fengting Long, Rui Deng, Jin Shi, Min Dai, and Lin Chen
J. Opt. Commun. Netw. 9(5) 393-400 (2017)

Optical frequency comb assisted denoising for multiple access and capacity enhancement of covert wireless communication

Xianglei Yan, Wei Pan, Xihua Zou, Bing Lu, Lianshan Yan, and Bin Luo
Opt. Lett. 47(6) 1442-1445 (2022)

Dual frequency comb assisted analog-to-digital conversion

Callum Deakin and Zhixin Liu
Opt. Lett. 45(1) 173-176 (2020)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.