Equalizer Settings Determination via Signal Level Counting
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Solution Overview
Problem
Existing methods for determining optimal equalizer settings for pulse amplitude modulation signals are complex, power-intensive, and not adaptable to various types of equalizers, making them inefficient in compensating for distortion in data transmission systems.
Innovation Solution
A device and method that utilize an estimator section to generate an estimator signal indicating signal levels relative to an offset signal, combined with a controller using binary search algorithms to determine optimal equalizer settings by evaluating these signals within a threshold window, allowing for simple, low-power, and fast adaptation to different equalizer configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If trial and error procedure with multiple metrics is used to determine optimal equalizer settings, then equalizer performance can be optimized, but device complexity and power consumption increase significantly
Solution Approach 1:
The patent extracts only the essential information needed for equalizer optimization by using a simplified estimator that counts signal levels above and below a reference level. This selective extraction of critical parameters (signal level distribution) eliminates the need for complex multi-metric evaluation while still enabling effective equalizer setting determination.
Solution Approach 2:
Instead of evaluating multiple complex metrics to determine equalizer performance, the patent inverts the approach by using a simple count-based estimator that directly provides information about signal distribution. This inverted methodology transforms a complex evaluation problem into a simple counting problem, reducing device complexity while maintaining optimization capability.
2Reliability
If trial and error procedure with multiple metrics is used to determine optimal equalizer settings, then equalizer performance can be optimized, but power consumption increases
Solution Approach 1:
The patent extracts only the essential information needed for equalizer optimization by using a simplified estimator that counts signal levels above and below a reference level. This selective extraction of critical parameters (signal level distribution) eliminates the need for complex multi-metric evaluation while still enabling effective equalizer setting determination.
Solution Approach 2:
The patent employs a simple, low-cost estimator mechanism that requires minimal computational resources and power consumption. Rather than implementing complex evaluation algorithms, the system uses a straightforward counting approach that is computationally inexpensive and energy-efficient, suitable for resource-constrained environments.
3Reliability
If complex evaluation metrics are used to determine optimal equalizer settings, then equalizer performance can be optimized, but adaptation speed decreases
Solution Approach 1:
The patent extracts only the essential information needed for equalizer optimization by using a simplified estimator that counts signal levels above and below a reference level. This selective extraction of critical parameters (signal level distribution) eliminates the need for complex multi-metric evaluation while still enabling effective equalizer setting determination.
Solution Approach 2:
The patent skips the complex intermediate steps of multiple metric calculations and directly determines equalizer settings based on the simple signal level count estimator. This approach rushes through the optimization process by focusing only on the most critical parameter (signal distribution) rather than performing exhaustive evaluations, thereby accelerating adaptation speed.
4Device complexity
If specific equalizer configuration is targeted, then optimization can be simplified, but adaptability to various equalizer types is reduced
Solution Approach 1:
The patent creates a universal estimator and controller system that can adapt to various equalizer types (CTLE, DFE, FFE) through a standardized interface. The simple count-based estimator provides equalizer-independent signal distribution information, while the controller translates this information into appropriate settings for different equalizer configurations, achieving both simplicity and versatility.
Data Source
AI summary
A device (2) for determining optimal equalizer settings (setE_opt) for an equalizer (1) for equalizing a pulse amplitude modulation signal (L0, L1, L2, L3) comprises an estimator section (21) configured for receiving at least a part of the equalized pulse amplitude modulation signal (L0′, L1′, L2′, L3′) from the equalizer (1), and for receiving an offset signal (offS), and for generating an estimator signal (estS) indicative of a percentage of signal levels of the at least a part of the equalized pulse amplitude modulation signal (L0′, L1′, L2′, L3′) which are larger or smaller than the offset signal (offS). The device comprises a controller (22) configured for receiving the estimator signal (estS), and for generating the offset signal (offS), and for generating equalizer settings (setE) for the equalizer (1), wherein the controller (22) includes an optimizer (221) for determining the optimal equalizer settings (setE_opt) for the equalizer (1) by evaluating the estimator signal (estS) for a range of offset signals (o1, . . . o4) and for a range of equalizer settings (setE0, setE_opt, setE2).