Dynamic Digital Filter Length Optimization for Coherent Receiver Phase Noise
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Coherent receivers face performance degradation due to additive and phase noise in optical signals, particularly due to poorly selected filter lengths in carrier phase recovery processes, which affect data decoding accuracy.
Innovation Solution
A system that dynamically adjusts the length of a digital filter in the carrier phase recovery process based on analysis of symbol distributions in a complex plane, optimizing filter length to minimize phase noise and improve receiver performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed filter length is used in the carrier phase recovery process, then the device complexity is reduced, but the receiver performance degrades due to inability to adapt to varying noise conditions
Solution Approach 1:
The patent implements dynamic filter length adjustment by continuously monitoring the geometric shape of symbol distributions in the complex plane and adapting the filter length accordingly. The filter transitions from a fixed structure to a dynamic one that automatically adjusts its parameters based on real-time signal characteristics, resolving the contradiction between performance reliability and device complexity.
Solution Approach 2:
The patent employs feedback mechanisms where the carrier phase recovery circuit continuously monitors the geometric shape of symbol distributions and uses this information to adjust the filter length. This closed-loop feedback system enables the receiver to adapt to varying noise conditions automatically, improving reliability without requiring complex manual configuration.
2Object-affected harmful factors
If the filter length is increased to reduce phase noise, then the phase noise reduction improves, but the response time to phase changes increases
Solution Approach 1:
The patent uses dynamic filter length adjustment to resolve the speed-phase noise contradiction. By continuously adapting the filter length based on the geometric shape of symbol distributions, the system can increase filter length to reduce phase noise when conditions permit, and decrease it to improve response time when phase changes are detected, achieving both goals sequentially rather than being constrained by a fixed compromise.
Solution Approach 2:
The patent changes the filter length parameter dynamically based on the geometric characteristics of symbol distributions. This parameter adjustment allows the system to optimize phase noise reduction by increasing filter length when needed, while maintaining the ability to respond quickly to phase changes by decreasing filter length when the geometric shape indicates rapid changes are occurring.
3Measurement precision
If a longer filter is used to improve phase noise reduction, then the phase recovery accuracy improves, but the device complexity and computational load increase
Solution Approach 1:
The patent implements dynamic filter length selection based on the geometric shape of symbol distributions, allowing the system to use longer filters only when the geometric characteristics indicate stable conditions warranting higher precision. This dynamic approach achieves high phase recovery accuracy when needed while avoiding the continuous computational burden of always using long filters, thus resolving the contradiction between precision and complexity.
Solution Approach 2:
The patent adjusts the filter length parameter based on geometric shape analysis of symbol distributions in the complex plane. By changing this parameter dynamically rather than using a fixed long filter, the system achieves high phase recovery accuracy when geometric conditions permit while reducing computational complexity when conditions allow for shorter filters, resolving the precision-complexity contradiction.
Data Source
AI summary
The present disclosure provides a system, apparatus and method to reduce phase noise associated with a received data signal, while optimizing system performance. An optimal length of a digital filter, employed in a carrier phase recovery process, is determined such that phase noise is reduced in the received data signal. Reduction of the phase noise present in the received data signal leads to improved receiver performance. The optimal length of the digital filter may be continuously performed, resulting in optimal performance of the receiver.