Oscillator Frequency Error Estimation Under Temperature Noise
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Solution Overview
Problem
Existing wireless communication systems face challenges in accurately estimating oscillator frequency errors due to temperature noise, particularly in high thermal transient conditions, which can lead to performance degradation in applications like satellite navigation systems.
Innovation Solution
The method involves receiving temperature measurements from a power management integrated circuit (PMIC), determining a temperature noise level estimate, and using this estimate to set parameters for calculating a frequency error estimate of the oscillator. This adaptive approach allows for customized algorithm configuration based on the device's specific noise level.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed algorithm configuration is used for oscillator frequency error estimation, then the system is simple to implement, but the estimation accuracy degrades in high thermal transient conditions
Solution Approach 1:
The patent implements dynamic algorithm configuration by adjusting filtering parameters and estimation algorithms based on real-time temperature noise level measurements. The system transitions from static to dynamic operation by monitoring temperature variations and adapting the frequency error estimation parameters accordingly, resolving the contradiction between fixed simplicity and adaptive accuracy.
Solution Approach 2:
The patent changes algorithm parameters (such as filter coefficients and estimation window sizes) based on measured temperature noise levels. By dynamically adjusting these parameters according to thermal conditions, the system maintains high estimation accuracy across varying environmental conditions without requiring a completely complex adaptive architecture.
2Measurement precision
If temperature noise level is not considered, then the estimation process is faster, but the location accuracy and sensitivity degrade
Solution Approach 1:
The patent performs preliminary temperature noise level measurements and characterizations before executing the frequency error estimation. By pre-assessing the thermal conditions and preparing appropriate algorithm parameters in advance, the system reduces computation time during actual positioning operations while maintaining accuracy through pre-configured adaptive parameters.
Solution Approach 2:
The patent implements feedback mechanisms where temperature noise measurements continuously inform adjustments to the frequency error estimation algorithm. This closed-loop approach allows the system to maintain high location accuracy by adapting to thermal conditions in real-time without requiring excessive computation during the critical positioning phase.
3Reliability
If adaptive algorithm configuration based on temperature noise is implemented, then frequency error estimation accuracy improves, but computational complexity increases
Solution Approach 1:
The patent applies adaptive algorithm configuration selectively based on local temperature noise conditions rather than uniformly across all operating scenarios. By identifying specific thermal transient conditions and applying targeted algorithm adjustments only when needed, the system improves reliability in critical situations while minimizing overall computational complexity.
Data Source
AI summary
Disclosed are techniques for oscillator frequency error estimation. In an aspect, an electronic device receives, from a power management integrated circuit (PMIC), a plurality of temperature measurements of an oscillator of the electronic device, determines a temperature noise level estimate of the oscillator based on the plurality of temperature measurements, determines, based on the temperature noise level estimate, a set of parameters for determining a frequency error estimate of the oscillator, and determines the frequency error estimate of the oscillator based on the set of parameters.