OFDM Subcarrier Gradient Recovery for Distorted Channel Signals
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Solution Overview
Problem
Conventional data recovery methods are inefficient in handling dynamic and random signal distortions introduced by transmission channels, requiring complex processing and consuming excessive resources, and are limited to linear time-invariant filters, which impair the efficiency of non-linear and time-variant communication links.
Innovation Solution
The use of inverse transformation of the transmission channel function to directly recover data from received signal subspaces, applying adaptive decoding schemes and noise filtering techniques to accommodate non-linear and time-variant changes, and utilizing gradients of subcarriers for data recovery in OFDM signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional data recovery methods are used, then data can be recovered from received signals, but complex processing is required and excessive resources are consumed
Solution Approach 1:
The patent extracts only the essential gradient information from the received OFDM signal subcarriers, rather than performing complete signal reconstruction. By focusing specifically on gradient calculations between adjacent subcarriers, the system achieves data recovery with reduced processing complexity while maintaining reliability.
Solution Approach 2:
The patent changes the parameter used for data recovery from traditional amplitude-based methods to gradient-based methods. This parameter transformation allows the system to achieve accurate data recovery with simpler processing operations, as gradient calculations between subcarriers provide sufficient information for reliable detection without requiring complex signal processing.
2Productivity
If conventional linear time-invariant filters are used, then filtering can be performed, but efficiency is impaired in non-linear and time-variant communication links
Solution Approach 1:
The patent implements a dynamic filtering approach that adapts to the specific characteristics of the transmission channel. The gradient-based data recovery method automatically adjusts to non-linear and time-variant channel conditions by calculating gradients from the received signal, providing both high productivity and adaptability without requiring separate processing for different channel types.
Data Source
AI summary
The data recovery from sub-carriers gradients (DRSG) of a received OFDM signal affected by deterministic and random distortions introduced by a transmission link, contributes a method and a circuit for utilizing gradients characterizing shapes of OFDM sub-carriers comprised in such OFDM signal for recovering data symbols transmitted originally.


