Receiver Filter Coefficients for Odd-Even Phase Signal Detection
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Solution Overview
Problem
Digital communication receivers face challenges in accurately detecting and correcting duty cycle distortion and determining receiver filter coefficients, particularly at high speeds where intersymbol interference and noise impairments are prevalent.
Innovation Solution
The method involves determining receiver filter coefficients by obtaining eye opening metrics from a data eye monitor for odd and even phases, and using these metrics to calculate threshold positions for decision-feedback equalizer latches, thereby improving signal detection and correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single set of receiver filter coefficients is used for all phases, then device complexity is reduced, but measurement precision and signal detection accuracy deteriorate due to duty cycle distortion
Solution Approach 1:
The patent segments the receiver filter coefficients into multiple sets, each optimized for specific phases (odd and even phases) of the data eye. This segmentation allows the system to handle duty cycle distortion by applying phase-specific coefficients, thereby improving signal detection accuracy without requiring a completely complex adaptive system for each phase
Solution Approach 2:
The patent performs preliminary determination of phase-specific receiver filter coefficients during a training or calibration phase. By pre-determining the coefficients for odd and even phases based on eye opening metrics, the system avoids real-time complexity during data reception while maintaining high detection accuracy through phase-appropriate coefficient selection
2Measurement precision
If phase-specific receiver filter coefficients are determined and applied, then signal detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent implements a universal coefficient selection mechanism that handles multiple phases using a unified framework. The same data eye monitor and coefficient determination logic are used for both odd and even phases, allowing the system to achieve phase-specific optimization without proportionally increasing overall device complexity
Solution Approach 2:
The patent introduces dynamic phase identification and coefficient selection, where the system automatically identifies the current phase (odd or even) and applies the corresponding pre-determined coefficients. This dynamic approach enables accurate signal detection across varying phases without requiring separate hardwired processing paths for each phase
3Device complexity
If duty cycle distortion is not corrected, then device complexity remains low, but reliability deteriorates due to impaired signal detection at high speeds
Solution Approach 1:
The patent employs feedback through the data eye monitor that continuously monitors eye opening metrics and provides information for determining appropriate receiver filter coefficients. This feedback mechanism enables the system to adapt to duty cycle distortion and maintain reliable signal detection, with the feedback loop being activated only when needed for high-speed or distorted signal conditions
4Measurement precision
If training sequences are used for coefficient determination, then coefficient accuracy is improved, but loss of time increases due to extended training period
Solution Approach 1:
The patent uses partial training sequences that are sufficient to determine the two key parameters (amplitude and phase) needed for coefficient calculation, rather than requiring exhaustive training. By focusing on the essential parameters needed for phase-specific coefficient determination, the system achieves adequate coefficient accuracy with reduced training time and faster system initialization
Data Source
AI summary
Methods and apparatus are provided for determining receiver filter coefficients for a plurality of phases. One or more coefficients for a receiver filter are determined by determining a first coefficient for a first phase of a data eye; and determining a second coefficient for a second phase of the data eye. The receiver filter may be, for example, a decision-feedback equalizer. The first and second coefficients may be determined by performing an LMS adaptation of decision-feedback equalization coefficients. In another embodiment, the first and second coefficients may be determined by obtaining eye opening metrics from a data eye monitor corresponding to each of the respective first phase and the second phase; and determining the respective first and second coefficients based on the eye opening metrics. The first and second phases can correspond to odd and even phases.