Concatenated Error-Correction Coding With Adaptive Inner Code Strength
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Solution Overview
Problem
Conventional error-correction coding methods for optical communications face a trade-off between error correction capability and circuit size, leading to increased circuit size for the inner code, which is not efficiently optimized.
Innovation Solution
The method involves adjusting the error correction capability of the inner code based on the error correction capability of the outer code, optimizing the inner coding and decoding processes to reduce circuit size while maintaining effective error correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a LDPC code with high error correction capability is used for the inner code, then the error floor is eliminated, but the circuit size is increased
Solution Approach 1:
The patent changes the parameters of the inner code from a high-capability LDPC code to a convolutional code with adjustable constraints length. By optimizing the constraints length parameter, the system achieves sufficient error correction capability while significantly reducing circuit size compared to high-capability LDPC codes.
Solution Approach 2:
The patent introduces dynamic adjustment of the inner code's error correction capability based on the outer code's performance. The system adaptively selects code parameters and decoding iterations to match the actual channel conditions and outer code capability, avoiding over-provisioning of the inner code and thus reducing circuit size while maintaining effective error floor elimination.
2Reliability
If the error correction capability of the inner code is increased, then more error bits can be corrected, but the circuit size increases
Solution Approach 1:
The patent implements a feedback mechanism where the outer code's error correction capability is evaluated, and this information is used to adjust the inner code's parameters. This feedback loop ensures the inner code's capability is precisely matched to the system's actual needs, preventing unnecessary circuit complexity while maintaining sufficient error correction performance.
Solution Approach 2:
The system dynamically adjusts parameters such as constraints length and decoding iteration count based on the outer code's capability and channel conditions. This parameter optimization allows the inner code to achieve the minimum necessary error correction capability without excessive circuit size increase.
Data Source
AI summary
An error-correction coding method that includes outer coding of performing a coding process for an outer code; and inner coding of performing a coding process for an inner code that has an error correction capability adjusted based on an error correction capability of the outer code.