Simultaneous amplitude and phase measurement for periodic optical signals using time-resolved optical filtering

Area of Science:

• Optics and Photonics
• Signal Processing

Background:

• Time-resolved optical filtering (TROF) is a technique for analyzing optical signals.
• Spectrogram analysis provides a time-frequency representation of signals.

Purpose of the Study:

• To present a numerical TROF algorithm for reconstructing complex electric fields.
• To demonstrate the algorithm's capability in recovering amplitude and phase for periodic and phase-modulated signals.

Main Methods:

• Utilizes a fast photodiode and a tunable narrowband optical filter to measure the spectrogram.
• Employs a numerical TROF algorithm to process the spectrogram data.
• Initiates the algorithm using spectrogram features like craters and ridges for phase-modulated signals.

Main Results:

• Successfully reconstructs the complex electric field, including amplitude and phase.
• Demonstrates accurate recovery for both periodic and phase-modulated optical signals.
• Highlights the importance of spectrogram features for algorithm initiation.

Conclusions:

• The numerical TROF algorithm effectively reconstructs complex electric fields from optical spectrograms.
• This method is valuable for analyzing amplitude and phase of various optical signals.
• Spectrogram features offer a robust starting point for TROF analysis.