Channelized Forward Error Correction for Arbitrary Data Blocks
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Solution Overview
Problem
Existing telecommunication systems face challenges in efficiently correcting errors in data transmission due to the need for uniform bit-width channels, which is impractical for datablocks of arbitrary or inconvenient bit-widths.
Innovation Solution
The system employs a method of channelizing datablocks into subblocks of varying bit-widths, determining and appending error codes to each subblock, and then combining these subblocks into a modified datablock, ensuring that each subblock has an equal number of rows regardless of its bit-width.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If uniform bit-width channels are used for error correction, then error correction can be performed using standard techniques, but datablocks of arbitrary or inconvenient bit-widths cannot be efficiently processed
Solution Approach 1:
The patent divides a datablock of arbitrary bit-width into multiple subblocks of uniform bit-width channels. This segmentation allows standard error correction techniques to be applied to each subblock while maintaining the ability to handle the original arbitrary-width datablock. The controller separates the datablock into subblocks, processes them individually through error correction, and then recombines them.
Solution Approach 2:
The patent introduces a new dimension of row alignment by padding subblocks with predetermined sequences to ensure equal row lengths across all subblocks. This dimensional adjustment in the row structure enables consistent error correction processing across subblocks of different original widths, solving the adaptability issue without requiring complex variable-width processing logic.
2Reliability
If subblocks of varying bit-widths are used to match original datablock structure, then data integrity is maintained, but error correction becomes complex due to unequal row lengths
Solution Approach 1:
The patent applies local quality by allowing each subblock to have its own specific bit-width characteristics while introducing uniformity in the row dimension through padding. Each subblock maintains its local data integrity with appropriate error correction codes, while the row alignment ensures consistent processing across all subblocks. This local adaptation with global uniformity resolves the complexity issue.
Solution Approach 2:
The predetermined padding sequences act as intermediaries between subblocks of varying bit-widths. These padding elements fill the gap between unequal subblock widths, creating equal row lengths across all subblocks without altering the original data. This intermediary structure enables simplified error correction processing while preserving data integrity.
3Reliability
If error codes are appended to each subblock, then forward error correction can be performed at the destination, but the modified datablock size increases
Solution Approach 1:
The patent applies partial action by appending error correction codes to only the necessary subblocks that require protection, rather than uniformly processing all data. The error correction codes are selectively added based on the subblock structure and transmission requirements, providing adequate error protection while minimizing the overall increase in datablock size.
Data Source
AI summary
According to at least one aspect of the present disclosure, a system for encoding and correcting data is provided, the system comprising at least one controller configured to: receive a datablock; channelize the datablock into a plurality of subblocks of varying bit-widths; determine one or more error codes for each subblock of the plurality of subblocks; append at least one of the one or more error codes to each subblock of the plurality of subblocks; and combine the plurality of subblocks into a modified datablock.