Multicore Fiber Crosstalk Detection via Waveform Inversion
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Solution Overview
Problem
Current crosstalk measuring methods for multicore fibers cannot capture detailed characteristics of crosstalk, including its position and level, as they simplify the fiber as a single channel.
Innovation Solution
A crosstalk measuring method and device that acquire and process intensity distribution data from both ends of a multicore fiber to generate waveforms that isolate crosstalk components, using inverted and added waveforms to extract crosstalk characteristics, and optionally match these waveforms with model waveforms to determine crosstalk positions and levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the entire multicore fiber is regarded as one channel using traditional power ratio measurement, then the measurement process is simple, but it is not possible to capture details such as position of crosstalk in core length direction and level of crosstalk
Solution Approach 1:
The patent divides the multicore fiber measurement into multiple independent channels by introducing dummy fibers at each core end. Each channel measures crosstalk from a specific core to a specific adjacent core, enabling detailed position and level detection. This segmentation transforms the single-channel traditional method into a multi-channel measurement system that captures spatial distribution of crosstalk.
Solution Approach 2:
The patent introduces dummy fibers as intermediary components connected to each core end. These dummy fibers serve as measurement channels that allow light to enter one core and detect crosstalk in adjacent cores without interfering with the original fiber structure. The dummy fibers act as mediators that enable precise localization of crosstalk positions along the core length.
2Measurement precision
If intensity distribution data from both ends of the core is acquired and waveform processing is performed using inverted waveforms, then detailed crosstalk characteristics can be captured, but processing load and storage requirements increase
Solution Approach 1:
The patent extracts only the crosstalk-related information from the intensity distribution data by performing waveform inversion and addition operations. Instead of processing and storing all raw intensity distribution data, the method extracts the differential waveform that specifically represents crosstalk characteristics. This extraction reduces the amount of data that needs to be processed and stored while maintaining measurement precision.
Solution Approach 2:
The patent performs preliminary waveform inversion and addition operations on the intensity distribution data to pre-process and highlight crosstalk components before final analysis. By inverting one waveform and adding it to the other, the method pre-emphasizes crosstalk signals while suppressing background noise, reducing the computational load required for subsequent detailed analysis.
Data Source
AI summary
For example, of a first intensity distribution waveform WF1 indicated by a distance distribution of an intensity of light which returns to one end of a core of a multicore fiber, and a second intensity distribution waveform WF2 indicated by a distance distribution of an intensity of light which returns to the other end of the core, the second intensity distribution waveform WF2 is inverted. Further, for example, an inverted intensity distribution waveform WF3 which is inverted and the first intensity distribution waveform WF1 which is not inverted are added.