Resonant Sensor Module With Synchronous Filtering for Linear Output
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Solution Overview
Problem
Physical quantity sensors, such as those detecting acceleration, face challenges with nonlinearity in their output values, which existing solutions address by increasing the circuit scale and cost through dedicated correction circuits.
Innovation Solution
A physical quantity sensor module incorporating a resonant frequency shift sensor, a reference signal oscillator, and frequency delta-sigma modulators, along with filters that operate synchronously with the measurement and reference signals, corrects nonlinearity without the need for additional dedicated circuits, by adjusting the cutoff frequency and smoothing timing through filter taps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a nonlinearity correction circuit is provided to correct the nonlinearity of the measurement target signal, then the measurement precision is improved, but the device complexity and cost increase
Solution Approach 1:
The patent replaces the traditional hardware-based nonlinearity correction circuit with a software-based correction method. The measurement target signal is corrected by applying a nonlinearity correction value calculated from the relationship between the measurement target signal and the output signal, eliminating the need for additional physical correction circuits and reducing device complexity while maintaining measurement precision.
Solution Approach 2:
The patent changes the parameter correction approach by calculating a nonlinearity correction value based on the relationship between the measurement target signal and output signal. This correction value is then applied to adjust the measurement target signal, achieving nonlinearity correction through parameter transformation rather than additional hardware circuits.
2Measurement precision
If a nonlinearity correction circuit is provided to correct the nonlinearity of the measurement target signal, then the measurement precision is improved, but the manufacturing cost increases
Solution Approach 1:
The patent replaces the traditional hardware-based nonlinearity correction circuit with a software-based correction method. The measurement target signal is corrected by applying a nonlinearity correction value calculated from the relationship between the measurement target signal and the output signal, eliminating the need for additional physical correction circuits and reducing device complexity while maintaining measurement precision.
Solution Approach 2:
The patent uses a computationally inexpensive correction approach that calculates nonlinearity correction values based on the relationship between measurement target signals and output signals. This software-based method is cheaper to implement than hardware correction circuits, reducing manufacturing cost while achieving the required measurement precision.
3Measurement precision
If filter taps are adjusted to reduce noise and vibration rectification errors, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The patent implements dynamic adjustment of filter tap coefficients based on the detected vibration frequency. The arithmetic processing unit calculates the vibration frequency from the measurement target signal and adjusts the tap coefficients of the smoothing filter accordingly. This dynamic adaptation allows the filter to optimally reduce noise and vibration rectification errors without requiring complex fixed filter designs, improving measurement precision while keeping the device complexity manageable through adaptive rather than statically complex filtering.
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 reduces noise and vibration rectification errors, achieving linearization of the measurement target signal while maintaining a compact module size and low cost, enhancing accuracy in applications like clinometers and inertial measurement devices.
Implementation Method 1
a resonant frequency shift based physical quantity sensor whose frequency adjusts with a adjust in physical quantity
Implementation Method 2
a frequency delta-sigma modulator which performs frequency delta-sigma modulation of the reference signal, using an operation signal based on a measurement target signal
Implementation Method 3
a first filter provided at an output of the frequency delta-sigma modulator and operating synchronously with the measurement target signal; a second filter provided on an output side of the first filter and operating synchronously with the reference signal
Data Source
AI summary
A physical quantity sensor module includes: a resonant frequency shift based physical quantity sensor whose frequency adjusts with a adjust in physical quantity; a reference signal oscillator which outputs a reference signal; a frequency delta-sigma modulator which performs frequency delta-sigma modulation of the reference signal, using an operation signal based on a measurement target signal as an output from the resonant frequency shift based physical quantity sensor, and generates a frequency delta-sigma modulated signal; a first low-pass filter provided on an output side of the frequency delta-sigma modulator and operating synchronously with the measurement target signal as the output from the resonant frequency shift based physical quantity sensor; and a second low-pass filter provided on an output side of the first low-pass filter and operating synchronously with the reference signal.


