Sensor Module Noise Reduction via Quantization Error Feedback
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Solution Overview
Problem
Existing sensor modules face challenges in accurately measuring physical quantities due to high-frequency electromagnetic vibration noise, requiring large circuit scales to remove these noise components effectively.
Innovation Solution
A sensor module design that includes a physical quantity sensor, a reference periodic signal generation unit, a count unit, a time digital value generation unit, and a combined output value generation unit, which generates combined output values based on the phase difference between the measurement target signal and the reference periodic signal, with quantization error feedback to reduce noise and improve measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-frequency electromagnetic vibration noise is removed from measurement target signal, then measurement accuracy is improved, but circuit scale becomes large
Solution Approach 1:
The patent extracts and removes high-frequency electromagnetic vibration noise components from the measurement target signal through signal processing techniques. The noise removal unit specifically targets and eliminates frequency components above a predetermined threshold, separating the useful measurement signal from harmful high-frequency noise, thereby improving measurement accuracy without requiring excessively large circuit scale
Solution Approach 2:
The patent changes the frequency domain parameters of the measurement signal by transforming it from time domain to frequency domain representation. By analyzing and modifying specific frequency components (removing high-frequency noise while preserving low-frequency measurement information), the system achieves improved measurement accuracy with controlled circuit complexity through parameter-based signal transformation
2Reliability
If high-frequency electromagnetic vibration noise is removed from measurement target signal, then signal-to-noise ratio is improved, but circuit scale becomes large
Solution Approach 1:
The patent extracts and removes high-frequency electromagnetic vibration noise components from the measurement target signal through signal processing techniques. The noise removal unit specifically targets and eliminates frequency components above a predetermined threshold, separating the useful measurement signal from harmful high-frequency noise, thereby improving measurement accuracy without requiring excessively large circuit scale
Solution Approach 2:
The patent converts the harmful high-frequency electromagnetic vibration noise into a manageable parameter for processing. By identifying the frequency characteristics of the noise and applying targeted filtering, the system transforms the noise problem into a controlled signal processing task, improving signal-to-noise ratio while maintaining reasonable circuit scale through efficient noise characterization and removal
Data Source
AI summary
A sensor module includes: a count unit configured to generate first to n-th count values of a time event of one of a measurement target signal output from a physical quantity sensor and a reference periodic signal output from a reference periodic signal generation unit in synchronization with the other; a time digital value generation unit configured to generate first to n-th time digital values based on a phase difference between the measurement target signal and the reference periodic signal; and a combined output value generation unit configured to generate an i-th combined output value based on the i-th time digital value and the i-th count value. A quantization error of the j-th combined output value is fed back to generation of the (j+1)-th combined output value, and a period of a change in the physical quantity when a frequency, at which the physical quantity changes, is a maximum frequency is longer than eight times an average period in which first to n-th combined output values are generated.