Signal Detection Apparatus Using Reduced Basis Lattice Reduction

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Solution Overview

Problem

In optical communication systems, the application of linear detection based on lattice reduction to transmission channels with dynamic characteristics results in increased errors due to the high calculation requirements, which are not reduced to a predetermined threshold, especially in mode multiplex transmission using multimode or few-mode fibers where mode-dependent loss and power loss affect transmission characteristics.

Innovation Solution

A signal detection device and method that employs a separation matrix based on a reduced basis, updates the separation matrix and error covariance matrix using error signals, and updates the unimodular matrix and its inverse to improve orthogonality, allowing for efficient error reduction with a manageable calculation amount.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If linear detection based on lattice reduction is applied to transmission channels with dynamic characteristics, then detection accuracy is improved, but calculation requirements increase beyond predetermined threshold

Engineering Contradiction:
Improvedetection accuracyVSAvoidcalculation requirements
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the lattice reduction process into multiple stages: initial basis reduction, iterative detection, and error correction phases. Each stage processes a subset of the signal components separately, reducing the overall computational burden while maintaining detection accuracy for time-variant optical transmission channels

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent performs preliminary basis reduction on the channel matrix before actual signal detection. By pre-processing the channel characteristics and establishing an initial reduced basis, the system avoids repeated complex calculations during real-time detection, thereby reducing calculation requirements while preserving detection accuracy

Inventive Principle:
Principle #10Preliminary action

2Quantity of substance

If mode multiplex transmission using multimode or few-mode fibers is used, then transmission capacity is increased, but mode-dependent loss and power loss affect transmission characteristics

Engineering Contradiction:
Improvetransmission capacityVSAvoidtransmission characteristics stability
Core Design Contradiction:
Quantity of substanceVSReliability

Solution Approach 1:

The patent implements feedback mechanisms where the receiver detects mode-dependent loss characteristics and feeds this information back to adjust the transmission parameters. This allows the system to compensate for mode-dependent loss and power loss effects, maintaining reliable transmission characteristics while utilizing high-capacity mode multiplex transmission

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent dynamically adjusts transmission parameters such as launch power distribution across different modes and wavelength selection based on detected channel conditions. By changing these parameters adaptively, the system optimizes transmission capacity while mitigating the impact of mode-dependent loss and power loss on transmission reliability

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS12176952B2Signal detection apparatus, signal detection method and program
Publication Date: 2024.12.24 NIPPON TELEGRAPH & TELEPHONE CORP
  • US12176952B2 patent drawing
  • US12176952B2 patent drawing
  • US12176952B2 patent drawing

AI summary

The signal detection device includes the signal detection unit that derives the estimation vector of the transmission signal vector,the first conversion unit that converts the estimation vector of the transmission signal vector to the estimation vector of the transmission signal vector based on the reduced basis, the first determination unit that converts the estimation vector of the transmission signal vector based on the reduced basis to the determination value vector of the transmission signal vector, the first update unit that updates the separation matrix, the second conversion unit that converts the first error signal vector to the second error signal vector based on the reduced basis, the second update unit that updates the error covariance matrix based on the reduced basis, the second determination unit that determines whether or not the predetermined condition is satisfied, and a third update unit that updates the unimodular matrix, the inverse matrix of the unimodular matrix, and the error covariance matrix based on the reduced basis when it is determined that the predetermined condition is established.