Trellis Coded Modulation with Dual Reed-Solomon Error Protection
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Solution Overview
Problem
Existing communication and storage systems face challenges in achieving high data rates with minimal bandwidth expansion, as trellis coded modulation (TCM) schemes can leave residual errors that impact system performance.
Innovation Solution
The system employs a dual encoding scheme using Reed-Solomon Codes with varying error correction capabilities, where one portion of the data is encoded with a higher error correction capability than the other, and both are interleaved and used in conjunction with trellis encoding to select cosets and signal vectors within a signal constellation, allowing for efficient data transmission without significant bandwidth expansion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If trellis coded modulation is used to achieve high data rates with minimal bandwidth expansion, then data transmission efficiency is improved, but residual errors increase and system performance deteriorates
Solution Approach 1:
The data stream is segmented into two separate portions: coset bits and signal vector bits. Each portion is independently encoded using different Reed-Solomon codes with appropriate error correction capabilities. This segmentation allows targeted error protection for each bit type, reducing residual errors while maintaining high data transmission efficiency through TCM.
Solution Approach 2:
Different error correction capabilities are applied locally to different portions of the data. The first Reed-Solomon code with higher error correction capability is applied to coset bits, while the second Reed-Solomon code with lower error correction capability is applied to signal vector bits. This local quality differentiation optimizes overall system performance by providing appropriate protection where needed.
2Reliability
If bandwidth expansion is increased to improve reliability, then error correction capability is improved, but transmission efficiency decreases
Solution Approach 1:
The invention changes the parameter of error correction capability distribution by applying different Reed-Solomon codes with varying correction capabilities to different data portions. This parameter differentiation allows the system to achieve high reliability through targeted error correction without requiring uniform bandwidth expansion across all data, thereby maintaining transmission efficiency.
Data Source
AI summary
Systems and methods for encoding and decoding for communications or storage systems utilizing coded modulation are provided. A first portion of data is encoded with a first at least one encoding scheme. A second portion of the data id encoded with a second encoding scheme. A coset is selected from a plurality of cosets based at least in part on the encoded first portion of the data, where the plurality of cosets corresponds to a partition of a signal constellation. A signal vector is selected within the selected coset based at least in part on the encoded second portion of the data.