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

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type	http://eprints.org/ontology/ConferenceItemEPrint http://eprints.org/ontology/EPrint Article Academic Article
seeAlso	HTML Summary of #92152 Real-time identification of frequency-hopping millimeter-wave signals using photonic time stretch and reservoir computing
sameAs	Real-time identification of frequency-hopping millimeter-wave signals using photonic time stretch and reservoir computing
Title	Real-time identification of frequency-hopping millimeter-wave signals using photonic time stretch and reservoir computing
described by	https://demo.openlinksw.com/about/id/entity/https/www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://demo.openlinksw.com/about/id/entity/https/raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
Date	2021-10-19
Creator	Yuanli Yue Ming Li Ailing Zhang Yue Feng Bahram Jalali Chao Wang Shuo Li Mohammad Hossein Asghari
status	peer reviewed published
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.
Is Part Of	https://kar.kent.ac.uk/id/repository
list of authors	https://kar.kent.ac.uk/id/eprint/92152#authors
presented at	SPIE/COS Photonics Asia
is topic of	https://www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #92152 Real-time identification of frequency-hopping millimeter-wave signals using photonic time stretch and reservoir computing

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