Adaptive Receiver Filtering Coefficients for WDM Signal Interference
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Solution Overview
Problem
In wavelength division multiplexing systems, fixed filtering coefficients lead to poor system performance due to mismatching with varying channel conditions and transmission requirements, causing signal loss and inter-channel interference.
Innovation Solution
A method that generates filtering coefficients by converting colored noise into white noise, allowing for adaptive filtering that adjusts to different channel conditions and transmission requirements, improving signal processing accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed filtering coefficients are used in the receiver, then the device complexity is reduced, but the system performance deteriorates due to mismatching with varying channel conditions
Solution Approach 1:
The patent implements dynamic filtering coefficients that adapt to varying channel conditions. The receiver determines filtering coefficients based on actual channel state information, transforming the static fixed-coefficient system into a dynamic adaptive system. This resolves the contradiction by allowing the system to maintain optimal performance across different channel conditions while managing complexity through structured adaptation mechanisms.
Solution Approach 2:
The patent changes the filtering coefficient parameters dynamically according to channel conditions. By adjusting the filtering coefficient values based on measured channel characteristics, the system adapts to different transmission environments. This parameter adaptation enables the receiver to maintain high system performance without requiring overly complex fixed-structure designs.
2Measurement precision
If adaptive filtering coefficients are generated by converting colored noise into white noise, then the signal filtering accuracy is improved, but the device complexity increases
Solution Approach 1:
The patent employs feedback mechanisms where the receiver determines filtering coefficients based on feedback from channel condition measurements. The system measures the actual channel state, processes this information to determine optimal coefficients, and applies these coefficients in subsequent signal processing. This feedback-driven approach improves filtering accuracy while managing complexity through systematic coefficient determination rather than exhaustive search methods.
Solution Approach 2:
The system performs self-adjustment by automatically determining filtering coefficients based on observed channel conditions without requiring external manual configuration. The receiver autonomously adapts to channel variations by processing received signals and adjusting coefficients accordingly. This self-service capability improves filtering accuracy while avoiding the complexity of external control systems.
3Productivity
If the bandwidth of single carriers is increased to improve system baud rate, then the productivity is improved, but inter-channel interference increases causing signal loss
Solution Approach 1:
The patent adjusts filtering coefficient parameters to compensate for inter-channel interference effects that arise from increased bandwidth operation. By dynamically changing the filtering characteristics based on the actual interference conditions, the system maintains high baud rates while mitigating the harmful effects of inter-channel interference through adaptive coefficient adjustment.
Solution Approach 2:
The patent converts the harmful inter-channel interference into useful information for coefficient determination. By measuring the actual interference patterns caused by high-bandwidth operation, the system uses this information to optimize filtering coefficients that specifically counteract the observed interference. This transforms the harmful interference effect into a basis for improving signal recovery accuracy.
Data Source
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AI summary
Embodiments of the present invention provide a signal receiving method and a receiver. The signal receiving method includes: sequentially preprocessing a received first signal to obtain to-be-processed second signals; generating filtering coefficients for the second signals by converting colored noise of the second signals into white noise; and filtering the corresponding second signals according to the filtering coefficients. Filtering can be performed according to different channel conditions and transmission requirements, thereby improving system performance of the receiver.