Compressive sensing in a photonic link with optical integration.

Area of Science:

• Photonics
• Optical Engineering
• Signal Processing

Background:

• Compressive sensing (CS) enables signal acquisition below the Nyquist rate.
• Traditional CS systems often require complex electronic hardware for signal acquisition.
• Optical integration offers potential for high-speed and low-power signal processing.

Purpose of the Study:

• To propose and demonstrate a novel photonics-assisted compressive sensing (CS) structure.
• To achieve optical integration for CS signal acquisition and processing.
• To reduce the hardware complexity and improve the efficiency of CS systems.

Main Methods:

• Modulating a multiwavelength continuous-wave light with a spectrally sparse signal.
• Mixing the optical signal with a random sequence in the optical domain.
• Utilizing a dispersive fiber to induce group delay for signal integration, equivalent to CS requirements.

Main Results:

• A proof-of-concept experiment demonstrated CS with a compression factor of 4 using four wavelengths.
• The system successfully integrated optical signals through controlled fiber dispersion.
• Simulation results indicate the technique's potential for higher compression factors and performance.

Conclusions:

• The proposed photonics-assisted CS structure offers a viable approach for optical integration.
• This method simplifies CS hardware by performing integration in the optical domain.
• The technique shows promise for future high-speed and efficient data acquisition systems.