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Compressive Sensing Detection of RF Signals by All-Optically Generated Binary Random Patterns

Jing, Ning and Mididoddi, Chaitanya K and Wang, Chao (2020) Compressive Sensing Detection of RF Signals by All-Optically Generated Binary Random Patterns. In: 2019 IEEE 2nd British and Irish Conference on Optics and Photonics (BICOP). IEEE. ISBN 978-1-72814-948-6. (doi:10.1109/BICOP48819.2019.9059595) (KAR id:81975)

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Abstract

High-speed random bit sequences are crucially important in temporal compressive sensing applications. In this work, we propose a new all-optical binary random patterns generation method for compressive sensing, completely eliminating the use of high-speed electronic circuits. This approach uses photonic time stretched optical pulses as the optical carrier. Spectrum slicing using a tunable ring resonator produces a train of uniformly spaced optical pulses (bits) due to spectrum-to-time mapping in photonic time stretch. Two cascaded dispersive devices with particularly designed nonlinear dispersion profiles are employed to introduce random time delays among optical pulses, leading to a quasi-random binary sequence. The random sampling pulse sequence can be updated by changing the free-spectral range of the ring resonator. The proposed method is verified by numerical simulations. The photonic generated random pulse sequences are used in compressive sensing detection of high-frequency RF signals. In a proof-of-concept demonstration, one-tone and multi-tone microwave signals are successfully reconstructed from four-time compressed measurement data.

Item Type: Book section
DOI/Identification number: 10.1109/BICOP48819.2019.9059595
Uncontrolled keywords: RF signal detection; compressive sensing; random sequence generation
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Depositing User: Chao Wang
Date Deposited: 03 Jul 2020 10:35 UTC
Last Modified: 06 Jul 2020 12:37 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/81975 (The current URI for this page, for reference purposes)
Wang, Chao: https://orcid.org/0000-0002-0454-8079
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