Fuzzy Control for WDM Receiver Signal Balancing

Solution Overview

Problem

In high-speed WDM optical communication systems, the process of adjusting receivers to achieve optimal signal reception is complex and time-consuming, often requiring a trial-and-error approach, which is inefficient and results in frequent performance fluctuations when changing receiver types.

Innovation Solution

A fuzzy control method and apparatus that obtain device and environmental information to match parameters from a fuzzy control parameter table, adjusting settings to achieve acceptable signal quality, and using a trial-and-error algorithm when necessary to fine-tune for optimal performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If trial and error algorithm is used to adjust receiver parameters, then the system can find optimal receiving balancing point, but the adjusting time is long and performance fluctuates frequently

Engineering Contradiction:

Improvereceiving balancing point accuracyVSAvoidadjusting time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent pre-establishes a fuzzy control parameter table containing optimal parameter combinations for different device and environmental conditions. When the system needs adjustment, it directly queries the table rather than performing trial-and-error adjustments, thus performing the optimization action in advance and eliminating the time-consuming adjustment process.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent creates a comprehensive fuzzy control parameter table that stores pre-calculated optimal parameters for various scenarios. Instead of repeatedly performing trial-and-error adjustments, the system copies the appropriate parameters from the table based on current device information and environmental conditions, significantly reducing adjustment time while maintaining optimization accuracy.

Inventive Principle:

Principle #26Copying

2Measurement precision

If trial and error algorithm is used to adjust receiver parameters, then the system can find optimal receiving balancing point, but the receiving characteristics differ greatly and performances are frequently repeated

Engineering Contradiction:

Improvereceiving balancing point accuracyVSAvoidreceiving characteristics stability

Core Design Contradiction:

Measurement precisionVSStability of the object's composition

Solution Approach 1:

The patent pre-establishes a fuzzy control parameter table containing optimal parameter combinations for different device and environmental conditions. When the system needs adjustment, it directly queries the table rather than performing trial-and-error adjustments, thus performing the optimization action in advance and eliminating the time-consuming adjustment process.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system queries the fuzzy control parameter table based on actual device information and environmental parameters, providing feedback-driven parameter selection. This ensures that the parameters selected are appropriate for the current specific conditions, avoiding the instability and performance fluctuations associated with blind trial-and-error methods.

Inventive Principle:

Principle #23Feedback

3Adaptability or versatility

If receiver type is changed, then the system can adapt to different receiver characteristics, but the whole system must search for a new optimal receiving balancing point again

Engineering Contradiction:

Improvereceiver type adaptabilityVSAvoidreadjustment time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent creates a universal fuzzy control parameter table that can accommodate different receiver types and configurations. The table stores parameter combinations for various device scenarios, allowing the system to adapt to different receiver types by simply querying the appropriate parameters from the table rather than performing new trial-and-error adjustments.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent creates a comprehensive fuzzy control parameter table that stores pre-calculated optimal parameters for various scenarios. Instead of repeatedly performing trial-and-error adjustments, the system copies the appropriate parameters from the table based on current device information and environmental conditions, significantly reducing adjustment time while maintaining optimization accuracy.

Inventive Principle:

Principle #26Copying

Data Source

PatentEP2453602B1Fuzzy control method and apparatus for signal receiving part in high speed wavelength division multiplexing system

Publication Date: 2017.08.30 ZTE CORP

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AI summary

The invention provides a fuzzy control method and apparatus for a signal receiving part in a high speed WDM system, wherein, the method comprises the following steps: step A, obtaining related information of each device in a receiving system and working environment parameter information of the receiving system; step B, according to the related information of each device and the working environment parameter information, finding out fuzzy control parameters which best match the related information of each device and the working environment parameter information from a fuzzy control parameter table stored in the system, and controlling the parameters of each device in the receiving system according to the fuzzy control parameters to make the system reach the best receiving balancing point. The invention can simplify the adjusting steps of the receiver and save the adjusting time.