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Adaptive dispersion compensation using a photonic integrated circuit finite impulse response filter
Optics Express
|November 29, 2023
Summary
This study demonstrates static and adaptive optical equalizers using photonic integrated circuits for chromatic dispersion compensation. Both methods achieved an 18-dB Q-factor for a 14-Gbd QPSK signal, improving optical communication system performance.
Area of Science:
- Photonics
- Optical Communications
- Integrated Circuits
Background:
- Optical signal processing (OSP) is typically static and non-adaptive to dynamic transmission distortions.
- Digital signal processing (DSP) offers adaptive capabilities but can be computationally intensive.
- Chromatic dispersion is a significant impairment in optical communication systems.
Purpose of the Study:
- To demonstrate optical equalization for chromatic dispersion compensation using a photonic integrated circuit (PIC) filter.
- To compare static and adaptive optical equalization techniques.
- To evaluate the performance improvement in optical communication systems.
Main Methods:
- Static optical equalizer calibrated using the fractional delay reference method based on known fiber dispersion.
- Adaptive optical equalizer utilizing a least-mean squares (LMS) algorithm for iterative updates.
- Implementation of a photonic integrated circuit (PIC) filter for optical equalization.
Main Results:
- Both static and adaptive optical equalizers achieved an 18-dB Q-factor improvement.
- Effective compensation of chromatic dispersion for a 14-Gbd QPSK signal over 30 km.
- Simulations highlighted enhanced dispersion compensating characteristics with additional taps.
Conclusions:
- Photonic integrated circuit (PIC) based optical equalizers are effective for chromatic dispersion compensation.
- Both static and adaptive techniques offer significant performance improvements in optical communication systems.
- Adaptive LMS algorithm provides a viable solution for dynamic transmission impairment compensation.
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