Noise Predictive Filter Reliability Control

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Solution Overview

Problem

Existing data processing systems are insufficient in handling various noise conditions during data transfer, leading to inefficiencies in noise predictive filtering.

Innovation Solution

The implementation of a reliability enhanced noise predictive filter circuit that includes a data detector circuit, calibration circuit, and enable circuit, which dynamically updates noise predictive filtering based on the reliability of detected data, enabling or disabling the calibration process based on the reliability of data bits and consecutive instances of unreliable data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If noise predictive filtering is continuously applied to handle various noise conditions, then noise resistance is improved, but system complexity increases due to insufficient handling of different noise conditions

Engineering Contradiction:
Improvenoise resistanceVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The noise predictive filter dynamically adjusts its operation by enabling or disabling based on detected data reliability. The system transitions from a static filtering approach to a dynamic one where the filter is activated when noise is detected and deactivated when data is reliable, optimizing performance while managing complexity

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system implements feedback by detecting data reliability and using this information to control the noise predictive filter operation. The detected output reliability feeds back to the enable circuit, which adjusts filter operation accordingly, creating a closed-loop system that adapts to varying noise conditions

Inventive Principle:
Principle #23Feedback

2Measurement precision

If calibration circuit continuously updates control values to improve filtering accuracy, then measurement precision is improved, but loss of time occurs due to unnecessary updates during reliable data periods

Engineering Contradiction:
Improvefiltering accuracyVSAvoidcalibration time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

Instead of continuous calibration, the system employs periodic calibration actions triggered only when needed - specifically when data reliability indicates noise presence. The calibration circuit updates control values periodically based on reliability conditions rather than continuously, reducing wasted calibration time while maintaining accuracy

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The system maintains continuous useful action by ensuring calibration occurs whenever noise is detected, rather than allowing gaps in filtering protection. The enable circuit ensures that calibration action is continuously applied during noisy periods while being suspended during clean periods, maximizing the continuity of useful filtering action

Inventive Principle:
Principle #20Continuity of useful action

3Reliability

If noise predictive filter is always active to handle noise conditions, then reliability is improved, but loss of energy occurs from continuous filter operation regardless of noise presence

Engineering Contradiction:
Improvedata transfer reliabilityVSAvoidfilter operation energy
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The noise predictive filter transitions from a static always-on state to a dynamic state controlled by data reliability detection. The enable circuit modulates filter operation dynamically, activating during noisy periods and deactivating during clean periods, thereby reducing energy consumption while maintaining reliability when needed

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes the operational parameter of the noise predictive filter from a constant active state to a variable state based on noise conditions. The enable signal acts as a parameter change mechanism, switching the filter between active and inactive states to optimize the balance between reliability and energy consumption

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS8670955B2Systems and methods for reliability assisted noise predictive filtering
Publication Date: 2014.03.11 AVAGO TECHNOLOGIES INTERNATIONAL SALES PTE LTD
  • US8670955B2 patent drawing
  • US8670955B2 patent drawing
  • US8670955B2 patent drawing

AI summary

Various embodiments of the present invention provide systems and methods for data processing. As an example, a data processing circuit is disclosed that includes: a data detector circuit, a calibration circuit, and an enable circuit. The data detector circuit is operable to apply a data detection algorithm to a data input to yield a detected output based at least in part on control values. The calibration circuit operable to update the control values based at least in part on the data input, the detected output, and a calibration circuit enable. The calibration circuit enable is generated by the enable circuit based at least in part on the detected output.