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

Yuanli Yue; Shuo Li; Yue Feng; Ailing Zhang; Chao Wang

doi:10.1117/12.2601446

19 October 2021 Real-time identification of frequency-hopping millimeter-wave signals using photonic time stretch and reservoir computing

Yuanli Yue, Shuo Li, Yue Feng, Ailing Zhang, Chao Wang

Author Affiliations +

Proceedings Volume 11902, Real-time Photonic Measurements, Data Management, and Processing VI; 119021B (2021) https://doi.org/10.1117/12.2601446
Event: SPIE/COS Photonics Asia, 2021, Nantong, JS, China

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.

Citation Download Citation

Yuanli Yue, Shuo Li, Yue Feng, Ailing Zhang, and Chao Wang "Real-time identification of frequency-hopping millimeter-wave signals using photonic time stretch and reservoir computing", Proc. SPIE 11902, Real-time Photonic Measurements, Data Management, and Processing VI, 119021B (19 October 2021); https://doi.org/10.1117/12.2601446

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available