Optical Receiving Apparatus Gamma Coefficient Optimization
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Solution Overview
Problem
Existing optical transmission systems face challenges in achieving maximum compensation for waveform degradation due to nonlinear optical effects like self-phase modulation (SPM) and cross-phase modulation (XPM) without optimally setting operation parameters, such as the number of filter taps and gamma coefficients, which requires time-consuming and resource-intensive processes.
Innovation Solution
A receiving apparatus equipped with processors that automatically sweep and set gamma coefficients and filter taps in the perturbation back-propagation (PBP) scheme, and averaging lengths in the nonlinear polarization crosstalk canceller (NPCC) scheme, to optimize reception quality and reduce circuit complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual optimization of operation parameters (gamma coefficient, filter taps, averaging length) is performed to achieve maximum compensation effect, then compensation performance is improved, but time consumption and resource intensity increase
Solution Approach 1:
The system performs self-optimization of operation parameters by automatically sweeping through possible values, measuring reception quality, and selecting optimal parameters without external intervention. The receiving apparatus independently adjusts gamma coefficients, filter tap numbers, and averaging lengths based on measured signal quality metrics.
Solution Approach 2:
The system implements a feedback mechanism where reception quality is continuously measured for different parameter combinations, and this measurement information is used to guide further parameter optimization. The measured quality metrics feed back into the parameter selection process to achieve optimal compensation.
2Reliability
If comprehensive parameter optimization is performed to achieve maximum compensation effect, then compensation performance is improved, but circuit complexity increases
Solution Approach 1:
The receiving apparatus autonomously determines optimal parameters through automated sweeping and measurement processes, eliminating the need for complex external optimization equipment. The system uses its own received signals to perform quality measurements and parameter selection.
Solution Approach 2:
The system optimizes compensation by dynamically adjusting key parameters including gamma coefficient, filter tap number, and averaging length. These parameter changes enable the system to adapt to different transmission conditions and achieve optimal compensation without adding physical circuit complexity.
Data Source
AI summary
A receiving apparatus includes a first processor configured to compensate, in a perturbation back-propagation (PBP) scheme, waveform degradation of an optical signal by traveling an optical transmission line due to a nonlinear optical effect; a memory; and a second processor coupled to the memory and the second processor configured to change a gamma coefficient to be used in the PBP scheme, measure reception quality of the optical signal for each of gamma coefficients obtained by the changing, specify a gamma coefficient in accordance with the reception quality from among the gamma coefficients obtained by the changing, and set the specified gamma coefficient as a parameter of the PBP scheme.