Soft-Decision Error Correction Encoding for Selective Bit Protection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional soft decision error correction encoding processes protect all bits except the most significant bit, leading to increased computational requirements as the number of bits to be protected increases.
Innovation Solution
An error correction encoding device that generates soft decision error correction frame information by combining first and second bit string group information, performing pulse amplitude modulation, and reducing the number of bits protected by soft decision error correction through systematic encoding and probability distribution shaping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all bits except the most significant bit are protected by soft decision error correction, then error correction capability is improved, but computational requirements increase
Solution Approach 1:
The patent segments the bit string into multiple groups (first bit string group information and second bit string group information) and applies different processing to each group. Specifically, only certain bits within these groups are selected for soft decision error correction protection, rather than protecting all bits except the most significant bit. This segmentation allows the system to maintain error correction capability for critical bits while reducing the overall number of bits requiring computationally intensive soft decision processing.
Solution Approach 2:
The patent applies local quality by differentiating which bits receive soft decision error correction protection based on their position and importance within the data structure. Instead of uniform protection across all non-most-significant bits, the system selectively protects specific bits (such as least significant bits in certain groups) with soft decision error correction while using harder, less computationally demanding error correction methods for other bits. This localized approach optimizes the balance between reliability and computational load.
2Reliability
If the number of bits protected by soft decision error correction increases, then error correction performance is improved, but calculation amount increases
Solution Approach 1:
The patent implements partial action by protecting only a subset of bits with soft decision error correction rather than all possible bits. The system identifies and protects specifically the least significant bits in certain bit string groups that benefit most from soft decision processing, while leaving other bits to be handled by simpler error correction mechanisms. This partial protection strategy achieves adequate error correction performance without the excessive computational burden of protecting every bit.
3Quantity of substance
If pulse amplitude modulation uses more bits, then data transmission capacity is improved, but the number of bits requiring soft decision error correction protection increases
Solution Approach 1:
The patent segments the modulated bit string into multiple groups and applies differentiated error correction strategies to each segment. When pulse amplitude modulation increases the number of transmitted bits, the system divides these bits into first and second bit string groups, applying soft decision error correction selectively to specific segments (such as least significant bits in certain groups) rather than uniformly to all bits. This segmentation maintains data transmission capacity while managing the complexity of error correction protection.
Solution Approach 2:
The patent applies local quality by assigning different error correction characteristics to different portions of the modulated data stream. As pulse amplitude modulation increases transmission capacity with more bits, the system locally optimizes protection by applying soft decision error correction only to specific bit positions (such as least significant bits in designated groups) that benefit most from this approach, while using alternative error correction methods for other bits, thereby managing overall system complexity.
Data Source
AI summary
An error correction encoding device includes an encoding unit to generate soft decision error correction frame information including a bit array of m rows and N columns obtained by combining first bit string group information and second bit string group information, the first bit string group information including a bit array of m rows and N1 columns in which it is enabled to perform pulse amplitude modulation of a combination of bit values of each column of the first bit string group information into a modulation symbol by using a first symbol mapping rule, the second bit string group information including a bit array of m rows and N2 columns in which it is enabled to perform pulse amplitude modulation of a combination of bit values of each column of the second bit string group information into a modulation symbol by using a second symbol mapping rule.


