OFDM Sub-Carrier Gradient Recovery for Nonlinear Channel Distortion

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Solution Overview

Problem

Conventional data recovery methods are inefficient in reversing dynamic and random signal distortions introduced by data links, requiring complex processing and limited to using linear time invariant filters, which impair filtering efficiency in non-linear and time-variant communication channels.

Innovation Solution

The proposed solution involves the use of inverse signal transformation (IST) and noise filtering with inverse transformation (NFIT) to directly recover original data from received signal subspaces, accommodating non-linearity and time-variant changes in transmission channels.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If conventional data recovery methods are used, then data recovery can be performed, but processing complexity increases and efficiency decreases

Engineering Contradiction:

Improvedata recovery efficiencyVSAvoidprocessing complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent applies inverse signal transformation (IST) to reverse the effects of transmission channel distortions. Instead of trying to recover the original signal through complex filtering and equalization, the method transforms the received signal through an inverse channel response, directly recovering the transmitted signal with simpler processing operations.

Inventive Principle:

Principle #13The other way round (Inversion)

Solution Approach 2:

The patent changes the approach from using fixed linear time invariant filters to using adaptive inverse transformation parameters that respond to the actual channel conditions. This allows the system to adjust its processing characteristics dynamically, improving efficiency while maintaining accuracy in reversing channel distortions.

Inventive Principle:

Principle #35Parameter changes

2Reliability

If linear time invariant filters are used for data recovery, then filtering can be performed, but filtering efficiency is impaired in non-linear and time-variant channels

Engineering Contradiction:

Improvefiltering efficiencyVSAvoidadaptability to non-linear and time-variant channels

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent transitions from static linear time invariant filters to dynamic inverse signal transformation that adapts to changing channel conditions. The IST process continuously responds to non-linear and time-variant channel characteristics, maintaining filtering efficiency in environments where conventional fixed filters fail.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

Instead of using conventional filtering approaches that struggle with non-linear channels, the patent inverts the channel response to directly counteract its effects. This inverse transformation approach is inherently more adaptable to non-linear and time-variant conditions because it models and reverses the actual channel behavior rather than attempting to filter its effects.

Inventive Principle:

Principle #13The other way round (Inversion)

3Use of energy by moving object

If inverse signal transformation is used for direct data recovery, then processing efficiency improves and power consumption reduces, but the method must accurately accommodate non-linear and time-variant channel changes

Engineering Contradiction:

Improvepower consumptionVSAvoidability to reverse dynamic and random signal distortions

Core Design Contradiction:

Use of energy by moving objectVSAdaptability or versatility

Solution Approach 1:

The patent uses inverse signal transformation to directly reverse channel effects, eliminating the need for complex intermediate processing stages. This approach reduces computational complexity and power consumption while maintaining the ability to handle non-linear and time-variant distortions through accurate inverse channel modeling.

Inventive Principle:

Principle #13The other way round (Inversion)

Data Source

PatentUS12237962B2Data recovery using gradients

Publication Date: 2025.02.25 BOGDAN JOHN W

AI summary

The data recovery from gradients (DRG) of sub-carriers of a received OFDM signal affected by deterministic and random distortions introduced by a transmission link, contributes a method and a system for utilizing gradients characterizing shapes of OFDM sub-carriers comprised in such OFDM signal for recovering data symbols transmitted originally.