Signal Processing Device Dynamic Filter Coefficient Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing optical transmission and reception modules in digital coherent optical transmission schemes face challenges in maintaining predetermined signal transmission characteristics due to variations in module combinations and individual characteristics, leading to inappropriate filter settings and unsatisfactory signal transmission.
Innovation Solution
A signal processing device with a processor to compensate for signal deterioration via electric connectors, utilizing first and second processors to acquire and set characteristic data for optimizing filter coefficients in equalizers, ensuring appropriate signal transmission characteristics across different module combinations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed filter coefficient is adjusted during manufacturing inspection, then the signal transmission characteristic can be optimized for a specific module combination, but the transmission characteristic deteriorates when connected to different module combinations due to individual characteristic variations
Solution Approach 1:
The patent implements dynamic adjustment of filter coefficients by introducing a coefficient adjustment unit that modifies the coefficients based on detection values from skew detection units. Instead of using a fixed coefficient adjusted during manufacturing, the system continuously adapts the filter coefficients according to the actual skew conditions detected during operation, enabling optimal signal transmission across different module combinations.
Solution Approach 2:
The patent employs feedback mechanisms where detection units measure the actual signal skew in real-time, and this detection value is fed back to the coefficient adjustment unit. The adjustment unit then modifies the filter coefficients based on this feedback, creating a closed-loop control system that maintains optimal signal transmission characteristics despite variations in module combinations.
2Productivity
If the electric filter is adjusted for a specific module combination, then optimal signal transmission is achieved for that combination, but the skew compensation becomes inappropriate for other combinations with different wire lengths and individual characteristics
Solution Approach 1:
The patent changes the parameters of the filter coefficients dynamically based on the detected skew conditions. The coefficient adjustment unit modifies the filter coefficients according to the detection values, allowing the system to adapt to different wire lengths and individual characteristics of various module combinations, thereby maintaining both high productivity and reliability across all combinations.
Solution Approach 2:
The patent performs preliminary detection of skew characteristics using detection units before signal transmission, and pre-adjusts the filter coefficients based on this detection. This preliminary action ensures that the filter is properly configured for the specific module combination before actual data transmission begins, maintaining signal transmission standards compliance.
Data Source
AI summary
A signal processing device includes an electric connector to which a transmitting and receiving device, which transmits and receives a signal, is connectable; a first processor configured to compensate for, according to a setting value, deterioration of the signal input and output between the signal processing device and the transmitting and receiving device via the electric connector; a memory configured to store first characteristic data indicating a transmission characteristic of the signal in the electric connector; and a second processor configured to acquire, from the transmitting and receiving device, second characteristic data for indicating a transmission characteristic of the signal in the transmitting and receiving device and set the setting value in the first processor based on the first characteristic data and the second characteristic data.