Bit-Flipping Decoder with Variable State Range and Syndrome Updates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing decoding algorithms and circuits for error correction in data communication systems face inefficiencies in error detection and correction, particularly in handling channel noise and power consumption during iterative calculations.
Innovation Solution
A decoding method and apparatus that utilize a weighting vector calculation based on a syndrome and parity check matrix to determine bit states and flip bits, with a variable change range and immediate syndrome updates, reducing power consumption and improving decoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing decoding algorithms are used to perform error correction, then error detection capability is maintained, but power consumption is high and decoding efficiency is low
Solution Approach 1:
The patent implements dynamic bit state management where bits transition between active and inactive states based on syndrome checking results. The weighting vector dynamically adjusts which bits require correction, allowing the decoder to focus computational resources only on erroneous bits rather than processing all bits uniformly, thereby reducing power consumption while maintaining error correction reliability
Solution Approach 2:
The patent applies local quality by treating different bits differently based on their error probability. Through the weighting vector calculation using syndrome and parity check matrix, each bit receives appropriate attention - bits with higher error probability are flagged for correction while reliable bits are left unchanged, optimizing both power efficiency and correction accuracy
2Reliability
If existing decoding algorithms are used to perform error correction, then error detection capability is maintained, but decoding throughput is low
Solution Approach 1:
The patent segments the decoding process into distinct stages: syndrome calculation, weighting vector generation, bit state determination, and selective flipping. This segmentation allows parallel processing of independent operations and enables the system to process multiple bits simultaneously through the weighting vector mechanism, significantly improving decoding throughput while maintaining reliability
Solution Approach 2:
The patent performs preliminary syndrome calculation and weighting vector generation before actual bit flipping operations. By pre-computing which bits need correction and preparing the flipping threshold in advance, the system avoids iterative trial-and-error approaches, thereby accelerating the decoding process and improving throughput
3Ease of manufacture
If fixed bit state change range is used, then implementation is simple, but adaptability to different error patterns is poor
Solution Approach 1:
The patent employs dynamic bit state change ranges that adapt to the specific error patterns detected in the received message. The flipping threshold and state transition rules are adjusted based on the syndrome results and weighting vector magnitudes, allowing the decoder to handle various error patterns effectively while maintaining reasonable implementation complexity through standardized state transition logic
Data Source
AI summary
A method of decoding a received message includes: determining a weighting vector corresponding to at least one bit of the received message according to a syndrome and a parity check matrix; determining a bit state of the bit according to a bit value of the bit; changing the bit state according to the weighting vector and a flipping threshold, wherein a change range of the bit state is variable; and flipping the bit according to the bit state.