High Order Modulation Bit Segmentation for Decision Accuracy
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Solution Overview
Problem
High order modulation demodulation processes suffer from poor decision accuracy due to reliance on least Euclidean distance criteria, which does not effectively distinguish between important and unimportant bits, leading to suboptimal performance in distinguishing between constellation points.
Innovation Solution
The method divides bit data into three parts to map constellation points into disjoint subsets, where the first part defines large regions, the second part further divides these into small regions, and the third part maps to specific small regions, allowing for improved decision accuracy using minimum distance demodulation criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If least Euclidean distance criteria is used for demodulation decision, then the demodulation process is simple, but decision accuracy is poor
Solution Approach 1:
The patent segments the bit data into three parts based on their importance and maps them to different subsets of constellation points. This segmentation allows the system to apply different demodulation strategies to different bit parts, improving overall decision accuracy while maintaining operational simplicity for the most critical bits.
Solution Approach 2:
The patent applies different mapping manners to different subsets of constellation points based on local characteristics. Important bits are mapped to subsets with better decision properties, while less important bits use standard mapping. This local optimization improves decision accuracy without significantly increasing overall system complexity.
2Reliability
If channel encoding is performed on all bit data, then bit error rate performance is improved, but implementation complexity increases
Solution Approach 1:
The patent extracts and identifies important bits from the bit data stream that require channel encoding for reliable transmission. By taking out only the critical bits for encoding rather than encoding all bits, the system achieves good bit error rate performance while reducing implementation complexity compared to full encoding approaches.
Solution Approach 2:
The patent applies channel encoding partially to only the important bits rather than to all bit data. This partial action is sufficient to achieve the required reliability for critical information while avoiding the excessive complexity of encoding the entire data stream, representing a compromise between performance and complexity.
Data Source
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AI summary
Disclosed are a high order modulation method, a demapping method, and a corresponding device. The embodiment of the present invention distinguishes important bits, and categorizes, according to the difficulty of judgment areas, the important bits into important bits for distinguishing regions and important bits for distinguishing cells. Therefore, the judgment accuracy rate of a demodulator is further improved.