Optical Link Power Profiling With Waveform Rotation Compensation
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Solution Overview
Problem
Accurate estimation of optical signal power profiles along communication links in optical networks is challenging due to factors like attenuation, dispersion, and nonlinear effects, which affect system design and performance evaluation.
Innovation Solution
A method involving a PPE module that uses a complex scaling factor to account for rotation and nonlinearities in optical signals, comparing a received waveform profile with an emulated profile to determine a power profile estimation, utilizing MMSE techniques and mathematical models to minimize mean square error.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If simple attenuation models are used for power profile estimation, then calculation complexity is reduced, but estimation accuracy deteriorates due to unaccounted nonlinear effects and signal rotation
Solution Approach 1:
The patent transforms the power profile estimation problem from a simple attenuation calculation to a complex signal processing problem by changing the parameters considered. It introduces nonlinear effect parameters, signal rotation parameters, and uses minimum mean square error (MMSE) optimization to estimate the power profile, thereby improving accuracy at the cost of increased computational complexity
Solution Approach 2:
The patent introduces an intermediary emulated waveform that acts as a reference model. This emulated waveform is generated by simulating the optical signal propagation through the fiber with known parameters, and is then compared with the actual received waveform to extract power profile information, serving as a mediator between the known transmitted signal and the unknown power profile
2Measurement precision
If complex scaling factors accounting for rotation are used, then power profile estimation accuracy is improved, but computational requirements increase
Solution Approach 1:
The system uses the received optical signal itself to generate the emulated waveform for comparison. By using the actual received waveform and comparing it with an emulated version that incorporates the complex scaling factors, the system enables the signal to serve its own estimation purpose, reducing the need for external calibration signals or additional hardware
Data Source
AI summary
According to an aspect of an embodiment, operations may include obtaining a first waveform profile corresponding to an optical signal received at an optical receiver via an optical link between the optical receiver and an optical transmitter. The operations may also include obtaining a second waveform profile that is an estimate of the first waveform profile. The second waveform profile may be based on one or more properties of the optical link and may be based on a complex scaling factor that accounts for rotation of the optical signal as the optical signal propagates via the optical link. In addition, the operations may include determining a power profile estimation corresponding to the optical link based on a comparison between the first waveform profile and the second waveform profile.