Paper
5 December 2024 Photonic compressed sensing of sparse radio frequency signals based on pulse stretching and compression structure
Author Affiliations +
Proceedings Volume 13418, Fifteenth International Conference on Information Optics and Photonics (CIOP 2024); 1341839 (2024) https://doi.org/10.1117/12.3048691
Event: 15th International Conference on Information Optics and Photonics (CIOP2024), 2024, Xi’an, China
Abstract
A Photonics-enabled Compressed Sensing (PCS) system for sparse Radio Frequency (RF) signals acquiring is proposed and experimentally validated, utilizing an optical pulse stretching and compression structure. A pulse train is first stretched by a dispersion module to carry the signal under measurement and a bipolar Pseudo-Random Binary Sequence (PRBS), then the pulse is compressed by another complementary dispersion module to perform integration process. The measurement matrix can be directly obtained from the envelope of the stretched pulse, avoiding the necessity of accurately obtaining the link impulse response including the Low-Pass Filter (LPF) in the traditional systems. A preliminary proof-of-concept experiment has been successfully carried out. A two-tone signal with frequencies of 400MHz and 800MHz is successfully reconstructed using a sampling rate of 100MHz, which is 1/16th of the Nyquist rate of the input two-tone signal.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Han Gao, Xiaohu Tang, Yuxiang Cai, Yamei Zhang, and Shilong Pan "Photonic compressed sensing of sparse radio frequency signals based on pulse stretching and compression structure", Proc. SPIE 13418, Fifteenth International Conference on Information Optics and Photonics (CIOP 2024), 1341839 (5 December 2024); https://doi.org/10.1117/12.3048691
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KEYWORDS
Pulse signals

Signal processing

Digital signal processing

Photodetectors

Sampling rates

Compressed sensing

Matrices

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