Polarization Separation Device Filter Coefficient Convergence

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Solution Overview

Problem

In polarization separation devices for optical receivers, there is a challenge in quickly converging on correct filter coefficients, especially when dealing with mixed states of two independent optical signals, which can lead to prolonged processing times.

Innovation Solution

The implementation of a polarization separation device that uses a first and second filter means with characteristic matrix elements as filter coefficients, and adaptive filter coefficient update mechanisms to reduce error signals, leveraging the relation between these elements to expedite convergence.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Speed

If conventional polarization separation methods are used, then the device structure is simple, but the filter coefficient convergence is slow

Engineering Contradiction:
Improvefilter coefficient convergence speedVSAvoidpolarization separation device structure
Core Design Contradiction:
SpeedVSDevice complexity

Solution Approach 1:

The polarization separation device is divided into multiple filter units (first filter unit, second filter unit, third filter unit, fourth filter unit), each processing different signal components. This segmentation allows parallel processing of polarization signals, significantly improving filter coefficient convergence speed while maintaining manageable device complexity through modular architecture

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a new dimension to the filtering process by applying filters with coefficients derived from characteristic matrix elements (Wxx, Wxy, Wyx, Wyy) rather than conventional scalar filters. This dimensional expansion in the filter coefficient space enables faster convergence by capturing the full polarization state information

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Loss of information

If polarization multiplexing is used to double transmission rates, then the information transmission capacity increases, but the signal processing complexity increases

Engineering Contradiction:
Improveinformation transmission capacityVSAvoidsignal processing complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The polarization separation device performs multiple functions simultaneously: it separates polarization multiplexed signals, compensates for transmission path characteristics, and reconstructs original signals through coordinated filtering. The filter units work together to handle both polarization components, providing universal processing capability that manages the increased information capacity without proportionally increasing complexity

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent uses characteristic matrix elements to create filter coefficients that copy and represent the inverse transmission path characteristics. By using Wxx, Wxy, Wyx, Wyy elements as filter coefficients, the system creates a mathematical copy of the transmission path's inverse response, enabling accurate signal recovery without requiring complex adaptive algorithms

Inventive Principle:
Principle #26Copying

Data Source

PatentUS9037004B2Optical receiver, polarization separation device and polarization separating method
Publication Date: 2015.05.19 NEC CORP
  • US9037004B2 patent drawing
  • US9037004B2 patent drawing
  • US9037004B2 patent drawing

AI summary

Provided is a polarization separation device which converges filter coefficients used in polarization separating process more quickly.The polarization separation device according to the present invention comprises: a first filter means 11 which applies filtering process on each of first and second input signals, which are detected from an received optical signal, with elements of a characteristic matrix representing the inverse characteristics of an optical transmission path as filter coefficients, and uses each of the filtered signals to output a first output signal; a second filter means 12 which applies filtering process on each of the first and second input signals with the other elements of the characteristic matrix as filter coefficients, and uses each of the filtered signals to output a second output signal; a filter coefficient update means 13 which updates the first filter coefficients using a relation between the elements of the characteristic matrix so as to further reduce both error signals of the first and second output signals; and a filter coefficient update means 14 which updates the second filter coefficients using the relation between the elements of the characteristic matrix so as to further reduce both error signals to the first and second output signals.