Receiver Circuit Signal Quality Evaluation via Level Range Comparison
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Solution Overview
Problem
Conventional receiver circuits require extensive time and hardware complexity to evaluate signal quality due to the need for statistically meaningful bit error rate (BER) calculations and eye diagram monitoring, which involves numerous test combinations and amplitude detection, limiting their efficiency and broad adoption.
Innovation Solution
A receiver circuit incorporating an equalizer, data sampler, slicer module, and counter module that samples and compares signal levels within a defined level range to estimate signal-to-noise ratio (SNR) and BER, allowing for efficient signal quality indication without the need for extensive hardware or amplitude detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional BER evaluation methods are used to obtain statistically meaningful BER, then measurement precision is improved, but loss of time increases significantly
Solution Approach 1:
The patent extracts only the essential information needed for BER estimation by comparing signal levels against a threshold within a defined range, rather than processing complete bit sequences. This extraction approach obtains sufficient statistical meaning from a subset of signal characteristics, dramatically reducing the time required while maintaining acceptable measurement precision.
Solution Approach 2:
Instead of evaluating every single bit to achieve complete statistical accuracy, the patent applies partial action by sampling and comparing only sufficient signal levels against the threshold. This partial evaluation provides adequate BER estimation without the excessive time cost of complete bit-by-bit analysis, achieving a practical balance between precision and speed.
2Measurement precision
If eye diagram monitoring is implemented to evaluate signal quality, then measurement precision is improved, but device complexity increases dramatically
Solution Approach 1:
The patent extracts the essential signal quality information by comparing signal levels against a fixed threshold within a predetermined range, eliminating the need for complex eye diagram visualization and fine-tuning mechanisms. This extraction approach maintains measurement precision while dramatically simplifying the hardware architecture.
Solution Approach 2:
Instead of using complex eye diagram monitoring that requires adjustable timing and threshold controls, the patent inverts the approach by using a fixed threshold and predetermined level range. This inversion simplifies the device complexity while maintaining the ability to evaluate signal quality effectively.
3Measurement precision
If eye diagram monitoring is used to derive BER, then measurement precision is improved, but device complexity increases due to AGC capability requirements
Solution Approach 1:
The patent extracts BER estimation capability directly from signal level comparisons against a fixed threshold, eliminating the need for AGC (Automatic Gain Control) subsystems. This extraction approach achieves sufficient BER derivation precision without the additional device complexity of amplitude detection and gain control mechanisms.
Solution Approach 2:
The signal quality evaluation system serves itself by using the existing signal levels directly for comparison against the threshold, without requiring external AGC control mechanisms. The receiver circuit independently performs level comparisons to estimate BER, making the system self-sufficient and reducing overall device complexity.
Data Source
AI summary
A receiver circuit receives an incoming signal and accordingly provides an internal signal, and includes an equalizer, a slicer module and a counter module. The equalizer provides a signal level according to the incoming signal, the slicer module compares if the internal signal exceeds a level range; according to comparison result, the counter module provides a signal quality indication capable of indicating whether a bit error rate of signal receiving is greater than a predetermined reference bit error rate. One of an upper bound and a lower bound of the level range can equal the signal level, a distance between the upper bound and the lower bound is set according to a reference signal-to-noise ratio which associates with the reference bit error rate.