Oscillator Temperature Compensation Using Neural Thermal Prediction
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Solution Overview
Problem
Existing oscillators, such as TCXO, face challenges in achieving high accuracy temperature compensation due to heat conduction delays between integrated circuit devices and resonators, which affect the accuracy of frequency stabilization, especially in applications requiring precise timing like 5G communication systems.
Innovation Solution
An integrated circuit device with multiple temperature sensors and a digital signal processing circuit that uses neural network calculations based on temperature detection data and its change over time to generate frequency control data, considering heat conduction between the integrated circuit and the resonator, thereby improving temperature compensation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If temperature compensation is performed using detected temperature data without considering heat conduction delay, then the temperature compensation process can be executed simply and quickly, but the accuracy of frequency stabilization deteriorates due to the temperature difference between the sensor and resonator
Solution Approach 1:
The system performs preliminary actions by detecting temperature changes over time and using neural network calculation to predict the resonator temperature before frequency adjustment is needed. This allows the temperature compensation to account for heat conduction delay proactively, maintaining accuracy without sacrificing execution speed.
Solution Approach 2:
The neural network calculation acts as an intermediary that bridges the temperature sensor and resonator by processing temperature detection data and its changes over time. It computes the actual resonator temperature by considering heat conduction characteristics, thereby mediating between the sensed temperature and the required frequency compensation.
2Measurement precision
If multiple temperature sensors are placed close to oscillation terminals to detect heat conduction effects, then the accuracy of temperature compensation improves, but the device complexity increases
Solution Approach 1:
The patent applies local quality by strategically placing temperature sensors at specific locations within the integrated circuit device - specifically closer to oscillation terminals than to power supply or output terminals. This localized sensor placement optimizes detection of heat conduction effects on the resonator while avoiding unnecessary sensors elsewhere, thus improving accuracy without proportionally increasing complexity.
Solution Approach 2:
The temperature sensors serve multiple functions: they detect both the absolute temperature and the rate of temperature change, providing dual-input data for the neural network calculation. This multi-functionality allows accurate temperature compensation without requiring additional dedicated sensors for different measurement purposes.
3Device complexity
If neural network calculation uses only current temperature data without temporal changes, then the calculation process is simpler and faster, but it cannot account for heat conduction delay between the integrated circuit device and resonator
Solution Approach 1:
The system performs preliminary analysis by continuously monitoring temperature changes over time and using this temporal data to predict future resonator temperature. This preliminary action allows the neural network to compensate for heat conduction delay before it significantly impacts frequency accuracy, maintaining precision without excessive computational complexity.
Solution Approach 2:
The patent applies dynamics by incorporating the rate of temperature change (dT/dt) as an additional input variable to the neural network calculation. This dynamic approach allows the system to adapt to changing thermal conditions and account for heat conduction delay, transforming the static temperature compensation into a dynamic process that responds to thermal transients.
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 configuration enhances the accuracy of temperature compensation processes by effectively accounting for heat conduction delays, ensuring stable oscillation frequencies even during holdover periods in communication systems.
Implementation Method 1
heat generated by the heat source propagates to the resonator. In this case, a delay in heat conduction may cause a difference between the temperature of the resonator and the temperature of the integrated circuit device
Data Source
AI summary
An integrated circuit device includes a digital signal processing circuit that generates frequency control data by performing a temperature compensation process by a neural network calculation process based on temperature detection data and an amount of change in time of the temperature detection data, and an oscillation signal generation circuit that generates an oscillation signal of a frequency set by the frequency control data using a resonator.