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Optical vector analysis based on asymmetrical optical double-sideband modulation using a dual-drive dual-parallel
Optics Express
|April 7, 2017
Summary
A new optical vector analysis (OVA) method using carrier-shifted optical double-sideband (ODSB) modulation offers a doubled measurement range and simpler setup. This advanced technique accurately measures fiber Bragg grating transmission responses without unwanted spikes.
Area of Science:
- Photonics and Optical Engineering
- Electromagnetics and Wave Propagation
- Materials Science and Engineering
Background:
- Optical Vector Analysis (OVA) is crucial for characterizing optical systems.
- Conventional OVA methods face limitations in measurement range and complexity.
- Existing optical double-sideband (ODSB) based OVA techniques require complex configurations.
Purpose of the Study:
- To propose and experimentally demonstrate a novel, simplified OVA approach.
- To enhance the measurement range compared to traditional optical single sideband modulation (OSSB) methods.
- To investigate the impact of optical carrier generation imperfections on measurement accuracy.
Main Methods:
- Utilizing carrier-shifted optical double-sideband (ODSB) modulation.
- Employing a dual-drive dual-parallel Mach-Zehnder modulator (DD-DPMZM) for modulation.
- Measuring the transmission response of a sampled fiber Bragg grating over an 80 GHz range.
Main Results:
- Achieved a doubled measurement range compared to conventional OSSB-based OVA.
- Demonstrated a simpler and more robust configuration than previous ODSB-based OVA.
- Obtained a measurement resolution of less than 667 kHz using 40-GHz microwave components.
- Confirmed the absence of undesirable spikes in measurement results.
Conclusions:
- The proposed ODSB-based OVA method provides significant advantages in measurement range and system simplicity.
- The technique is robust and accurate, suitable for precise characterization of optical components like fiber Bragg gratings.
- Understanding the influence of carrier generation is key to optimizing measurement fidelity.