Quartz Oscillator Frequency Correction Using Two-Point Calibration

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Solution Overview

Problem

Current crystal oscillators face significant challenges in maintaining accurate and stable frequency due to environmental changes such as temperature, humidity, and vibration, leading to costly and time-consuming factory calibration processes, especially for temperature-compensated crystal oscillators (TCXO), which require individual adjustments and extensive physical space.

Innovation Solution

A method and system that utilize a temperature sensor and frequency error measurer to measure calibration points during product testing, estimating two parameters to determine a third-order polynomial for a crystal model, allowing for reduced factory calibrations and improved temperature variation handling, enabling self-correction capabilities in electronic devices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If temperature compensated crystal oscillator (TCXO) is used to improve frequency stability, then frequency accuracy is improved, but manufacturing cost and calibration time are significantly increased

Engineering Contradiction:
Improvefrequency stabilityVSAvoidmanufacturing efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system performs self-calibration by automatically measuring frequency at two temperature points and computing correction parameters without requiring manual factory adjustment. The device calibrates itself during operation, eliminating the need for expensive and time-consuming factory calibration processes while maintaining frequency stability.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system changes the calibration approach from traditional multi-point physical adjustment to a simplified two-point digital parameter measurement. By measuring frequency at only two temperature points and computing correction parameters mathematically, the system achieves comparable accuracy with significantly reduced calibration time and cost.

Inventive Principle:
Principle #35Parameter changes

2Manufacturing precision

If traditional factory calibration process is used for each TCXO, then frequency accuracy is improved, but manufacturing time and cost are doubled

Engineering Contradiction:
Improvefrequency accuracyVSAvoidcalibration time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The system performs only the minimum necessary calibration actions - measuring frequency at exactly two temperature points - rather than traditional extensive multi-point calibration. This partial action approach achieves sufficient accuracy for most applications while reducing calibration time from hours to minutes per device.

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

The system replaces mechanical/physical calibration processes with digital measurement and computation. Instead of manual adjustment of physical components, the system uses digital frequency measurement and mathematical computation of correction parameters, significantly accelerating the calibration process.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If TCXO with extensive calibration is used, then frequency stability is improved, but physical area and device complexity are increased

Engineering Contradiction:
Improvefrequency stabilityVSAvoidphysical area
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system extracts only the essential calibration information needed for frequency compensation - two temperature-frequency measurement points and computed correction parameters. By taking out only the necessary data rather than performing full traditional calibration, the system reduces the physical and computational resources required while maintaining adequate frequency stability.

Inventive Principle:
Principle #2Taking out (Extraction)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach significantly reduces manufacturing costs and time, enhances frequency accuracy 'out-of-the-box' for crystal oscillators, and simplifies radio block designs by minimizing central frequency correction dependencies, while improving temperature variation handling several times better than traditional methods.

Implementation Method 1

measuring a first temperature of the test product and measuring a first frequency error of the crystal oscillator at a first calibration point

Methodology Applied
Scientific EffectTemperature sensing:

Implementation Method 2

measuring a first frequency error of the crystal oscillator at a first calibration point during a product testing process

Methodology Applied
Scientific EffectFrequency measurement:

Implementation Method 3

estimating two parameters from the first temperature, first frequency error, second temperature, and second frequency error, and determining a 3rd order polynomial for the crystal model based on the two parameters

Methodology Applied
Scientific EffectPolynomial modeling:

Data Source

PatentUS10914643B2System and method for modeling and correcting frequency of quartz crystal oscillator
Publication Date: 2021.02.09 SAMSUNG ELECTRONICS CO LTD
  • US10914643B2 patent drawing
  • US10914643B2 patent drawing
  • US10914643B2 patent drawing

AI summary

A method and system for generating a crystal model for a test product including a crystal oscillator are herein disclosed. The method includes measuring a first temperature of the test product and measuring a first frequency error of the crystal oscillator at a first calibration point during a product testing process, measuring a second temperature of the test product and measuring a second frequency error of the crystal oscillator at a second calibration point during the product testing process, estimating two parameters from the first temperature, first frequency error, second temperature, and second frequency error, and determining a 3rd order polynomial for the crystal model based on the two parameters.