Sensor Signal Processing With Adaptive Noise Mixing for Artifact Suppression
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Solution Overview
Problem
Existing sensor signal processing technologies fail to effectively separate useful signal components from interference and noise components, leading to suboptimal signal-to-noise ratios and the presence of measurement artifacts in sensor outputs.
Innovation Solution
An apparatus and method that utilize a noise generator with variable operating parameters, adjusted based on temperature and interference signal properties, to mix an optimally adapted noise signal into the useful signal component, achieving a signal output with a low-amplitude white noise that suppresses unwanted artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional sensor signal processing is used, then the device complexity is low, but the measurement precision deteriorates due to suboptimal signal-to-noise ratios and presence of measurement artifacts
Solution Approach 1:
The patent applies preliminary action by generating and mixing an optimized noise signal into the sensor output signal before final output. The processing circuit pre-calculates optimal noise characteristics based on temperature and interference analysis, then combines this noise signal with the useful signal component. This preliminary optimization of the signal structure before output improves the signal-to-noise ratio by suppressing measurement artifacts, rather than attempting complex post-processing of the already-degraded signal.
Solution Approach 2:
The patent employs parameter changes by dynamically adjusting the operating parameters of the noise generator based on analyzed temperature signal properties and interference signal component characteristics. The processing circuit modifies noise signal parameters (such as amplitude, frequency distribution, and spectral density) to match the specific operating conditions. This adaptive parameter adjustment optimizes the signal-to-noise ratio for different environmental conditions without requiring a completely different processing architecture.
2Adaptability or versatility
If a fixed noise signal is added to the sensor output, then the device complexity is low, but the adaptability deteriorates because the noise signal cannot be optimized for different temperature and interference conditions
Solution Approach 1:
The patent implements feedback by continuously analyzing the temperature signal and interference signal component properties, then using this analysis to adjust the noise generator parameters. The processing circuit creates a closed-loop system where the output noise signal characteristics are continuously optimized based on real-time environmental conditions. This feedback mechanism enables the system to adapt to different operating conditions (temperature variations, interference levels) while maintaining a relatively simple overall architecture through incremental adjustments rather than complete system redesign.
Solution Approach 2:
The patent applies dynamics by making the noise signal characteristics variable and adaptive rather than fixed. The processing circuit dynamically adjusts the noise generator's operating parameters based on real-time analysis of temperature and interference conditions. This dynamic adaptation allows the noise signal to be optimized for each specific operating condition, improving versatility without requiring multiple dedicated circuits for different scenarios. The system transitions from a static noise addition approach to a dynamic, condition-dependent noise optimization approach.
Data Source
AI summary
Apparatuses and methods are described for processing the sensor signal of a sensor component, a noise signal that is generated as a function of specific properties of an interference signal component of the sensor signal and/or of specific properties of a temperature signal of a temperature sensor being mixed into a useful signal component of the sensor signal.