Current Optics and Photonics

Optical Society of Korea (한국광학회)
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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)
  • Received : 2022.02.15
  • Accepted : 2022.04.22
  • Published : 2022.06.25
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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

Acknowledgement

National Natural Science Foundation of China (grant number: 61975048); Natural Science Foundation of Zhejiang Province (grant number: LZ20F010003).

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