SNR and BER Estimation Using Adjustable Comparator Thresholds
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Solution Overview
Problem
Existing wired local area networks, particularly those using 10BASE-T1S, face challenges in efficiently estimating Signal to Noise Ratio (SNR) and Bit Error Rate (BER) due to high complexity and power consumption in conventional Digital Signal Processing (DSP) techniques, making it difficult to quickly detect bit errors and report Signal Quality Indicators (SQI) in high SNR environments.
Innovation Solution
The implementation of a method using a one-bit analog to digital converter with adjustable thresholds to determine SNR and BER without Phase Locked Loops (PLLs), employing a system of equations based on two comparator thresholds to calculate signal amplitude and noise, allowing for quick detection and reporting of SQI parameters with reduced complexity and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional Digital Signal Processing (DSP) techniques are used to estimate SNR and BER, then measurement precision is improved, but device complexity and power consumption increase
Solution Approach 1:
The patent extracts only the essential functionality needed for SNR and BER estimation from complex DSP techniques. By using a simplified model that relies on counting bit errors at different signal amplitude thresholds rather than full spectral analysis, the solution achieves acceptable measurement precision while dramatically reducing device complexity and power consumption.
Solution Approach 2:
The patent changes the measurement approach from analyzing continuous signal parameters (requiring complex DSP) to counting discrete bit errors at controlled amplitude thresholds. This parameter transformation allows accurate SNR and BER estimation through simple threshold comparisons and error counting, avoiding the need for computationally intensive signal processing algorithms.
2Measurement precision
If conventional DSP techniques are used to estimate SNR and BER, then measurement precision is improved, but power consumption increases
Solution Approach 1:
The patent extracts only the essential functionality needed for SNR and BER estimation from complex DSP techniques. By using a simplified model that relies on counting bit errors at different signal amplitude thresholds rather than full spectral analysis, the solution achieves acceptable measurement precision while dramatically reducing device complexity and power consumption.
Solution Approach 2:
The patent employs simple, low-cost measurement operations (threshold comparisons and error counting) that consume minimal power, replacing energy-intensive DSP algorithms. The approach uses basic digital logic and counters that can be implemented with very low power expenditure while still providing accurate SNR and BER estimates.
3Measurement precision
If high threshold values are used in comparators, then bit error detection sensitivity is improved, but the ability to detect errors in high SNR environments decreases
Solution Approach 1:
The patent implements dynamic threshold adjustment where the comparator thresholds are adapted based on the measured signal amplitude. By setting thresholds as fractions of the measured signal amplitude (e.g., 1/4 and 3/4 of peak amplitude), the system maintains optimal detection sensitivity across varying signal conditions, including high SNR environments where fixed thresholds would fail.
Solution Approach 2:
The patent changes the measurement approach from analyzing continuous signal parameters (requiring complex DSP) to counting discrete bit errors at controlled amplitude thresholds. This parameter transformation allows accurate SNR and BER estimation through simple threshold comparisons and error counting, avoiding the need for computationally intensive signal processing algorithms.
Data Source
AI summary
Systems, device, and methods related to estimating a Signal to Noise Ratio (SNR) of a signal are disclosed. A method of estimating an SNR includes setting a threshold of a comparator of a physical layer device to a first value, applying a signal to the comparator, and determining a first bit error number of an output of the comparator with the threshold set at the first value. The method also includes setting the threshold of the comparator to a second value that is different from the first value, applying the signal to the comparator, and determining a second bit error number of the output of the comparator with the threshold set at the second value. The method further includes determining an SNR of the signal based on the first bit error number and the second bit error number.