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Characterization of a compressively sampled photonic link
J M Nichols1, C V McLaughlin, F Bucholtz
1Naval Research Laboratory, Washington, DC 20375, USA. jonathan.nichols@nrl.navy.mil
Applied Optics
|October 4, 2012
Summary
Compressive sampling enables analog-to-digital systems to recover signals sampled below the Nyquist rate. This study details an all-photonic implementation, exploring hardware, real-time issues, and signal model impact on reconstruction.
Area of Science:
- Photonics
- Signal Processing
- Electrical Engineering
Background:
- Compressive sampling (CS) offers a novel approach to signal acquisition, potentially reducing sampling rates.
- Traditional analog-to-digital converters (ADCs) adhere to the Nyquist-Shannon sampling theorem, often requiring high sampling frequencies.
- An all-photonic implementation of CS was previously demonstrated, showcasing its fundamental principles.
Purpose of the Study:
- To provide an in-depth analysis of an all-photonic compressive sampling system.
- To detail the hardware components and real-time implementation challenges.
- To investigate the influence of signal models and their fidelity on signal reconstruction.
Main Methods:
- Detailed description of the all-photonic hardware setup.
- Analysis of practical considerations for real-time signal acquisition and processing.
- Exploration of different signal models and their impact on reconstruction accuracy.
Main Results:
- Experimental validation of the all-photonic compressive sampling system's feasibility.
- Identification of key hardware parameters affecting system performance.
- Demonstration of how signal model choice impacts the fidelity of reconstructed signals.
Conclusions:
- The all-photonic compressive sampling system is a viable technology for advanced analog-to-digital conversion.
- Real-time implementation requires careful consideration of hardware and signal modeling.
- Optimizing signal models is crucial for maximizing reconstruction quality in photonic CS systems.
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