Modulation Error Ratio Measurement Using Error Correction Feedback
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Solution Overview
Problem
Inaccuracies in modulation error ratio (MER) measurements arise when the closest constellation symbol to a received symbol is improperly identified, leading to diminished accuracy in signal-to-noise ratio (SNR) approximation in communication systems.
Innovation Solution
The proposed solution involves using feedback from error correction processing to adjust measured slicer errors, calculating error correction values based on differences between received and correct symbols, and incorporating these values into the MER calculation to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the closest constellation symbol is used as the target symbol for MER calculation, then the calculation process is simple, but the measurement precision deteriorates when symbol identification is incorrect
Solution Approach 1:
The patent applies feedback by using error correction processing results to identify incorrect symbol decisions and adjusting the target symbol selection accordingly. The error correction module detects when the closest constellation symbol is improperly identified, and this feedback information is used to select the correct target symbol for MER calculation, thereby improving measurement accuracy without significantly complicating the overall process
Solution Approach 2:
The patent introduces an intermediary mechanism (error correction processing module) that mediates between the simple closest-symbol selection and accurate MER measurement. This intermediary analyzes error patterns and provides corrected target symbol identification, resolving the contradiction between simplicity and precision
2Measurement precision
If error correction processing feedback is used to adjust slicer errors, then MER calculation accuracy is improved, but device complexity increases
Solution Approach 1:
The patent makes the error correction processing module multi-functional by having it serve both its primary error correction function and an additional function of providing feedback for MER calculation. This universal approach avoids adding separate dedicated hardware for MER accuracy, thereby limiting the increase in device complexity while still improving measurement precision
Data Source
AI summary
Methods, systems, and computer readable media can be operable to calculate modulation error ratio using feedback from error correction processing. An error correction value obtained through an error correction process can be added to a measured slicer error in order to calculate a modulation error ratio. An error correction value associated with a correctable error can be based upon the difference between a received symbol and a correct symbol. An error correction value associated with an uncorrectable error can be based upon a measured slicer error and the distance between constellation symbols in a constellation diagram.


