Real-time identification of frequency-hopping millimeter-wave signals using photonic time stretch and reservoir computing

Yue, Yuanli, Li, Shuo, Feng, Yue, Zhang, Ailing, Wang, Chao, Jalali, Bahram, Li, Ming, Asghari, Mohammad Hossein (2021) Real-time identification of frequency-hopping millimeter-wave signals using photonic time stretch and reservoir computing. In: SPIE/COS Photonics Asia. (doi:10.1117/12.2601446) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:92152)

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Official URL: https://doi.org/10.1117/12.2601446

Abstract

Real-time identification of frequency-hopping millimeter-wave (mm-wave) signals is a real challenge, due to the high demand for detection bandwidth and processing speed. In this paper, we propose and demonstrate a novel microwave photonic approach to identifying frequency hopping of mm-wave signals based on the concepts of photonic time stretch (PTS) and Reservoir Computing (RC). The PTS scheme allows the modulated signal to be slowed down hence reducing the required detection bandwidth. The developed RC model offers unique features such as being more efficient and time saving in temporal data pattern classification than traditional methods. According to the simulation, RC can recognize the hopping instants and give a precise hop timing estimation in real-time.

Item Type:	Conference or workshop item (Paper)
DOI/Identification number:	10.1117/12.2601446
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User:	Chao Wang
Date Deposited:	06 Dec 2021 02:42 UTC
Last Modified:	02 Apr 2024 14:00 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/92152 (The current URI for this page, for reference purposes)

University of Kent Author Information

Yue, Yuanli.

Creator's ORCID:
CReDIT Contributor Roles:

Wang, Chao.

Creator's ORCID:	https://orcid.org/0000-0002-0454-8079
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