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http://dx.doi.org/10.3807/COPP.2022.6.3.288

Optical Signal Sampling Based on Compressive Sensing with Adjustable Compression Ratio  

Zhou, Hongbo (School of Communication Engineering, Hangzhou Dianzi University)
Li, Runcheng (School of Communication Engineering, Hangzhou Dianzi University)
Chi, Hao (School of Communication Engineering, Hangzhou Dianzi University)
Publication Information
Current Optics and Photonics / v.6, no.3, 2022 , pp. 288-296 More about this Journal
Abstract
We propose and experimentally demonstrate a novel photonic compressive sensing (CS) scheme for acquiring sparse radio frequency signals with adjustable compression ratio in this paper. The sparse signal to be measured and a pseudo-random binary sequence are modulated on consecutively connected chirped pulses. The modulated pulses are compressed into short pulses after propagating through a dispersive element. A programmable optical filter based on spatial light modulator is used to realize spectral segmentation and demultiplexing. After spectral segmentation, the compressed pulses are transformed into several sub-pulses and each of them corresponds to a measurement in CS. The major advantage of the proposed scheme lies in its adjustable compression ratio, which enables the system adaptive to the sparse signals with variable sparsity levels and bandwidths. Experimental demonstration and further simulation results are presented to verify the feasibility and potential of the approach.
Keywords
Compressive sensing; Pulse stretch and compression; Sparse signals;
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