Sensor Noise Equalization via Multi-Stage Averaging
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Solution Overview
Problem
Existing measurement devices face challenges in effectively reducing the influence of time-dependent noise in sensor measurements, leading to inaccuracies in detection results due to unequal noise components across different measurement values.
Innovation Solution
A measurement device and method that utilizes multiple sensors to select predetermined combinations for each measurement, acquires detection values, and corrects them by averaging time-dependent noise components across multiple measurement instances, ensuring a common noise component is applied to each value, thereby reducing noise influence and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If time-dependent noise is equalized to a reference value in each measurement value, then noise equalization is achieved, but large noise components may cause large influence on detection results
Solution Approach 1:
The patent segments the noise equalization process into two distinct stages: first equalizing noise to a reference value for each measurement value, then separately equalizing the noise components across multiple measurement values. This segmentation prevents the propagation of large noise components while maintaining noise equalization benefits.
Solution Approach 2:
The patent performs preliminary noise equalization to reference values for each measurement value before proceeding to the second stage of noise equalization across multiple measurements. This preliminary action ensures that each individual measurement value has its noise properly normalized before being used in subsequent analysis.
2Measurement precision
If multiple sensors are used to reduce time-dependent noise influence, then measurement accuracy improves, but device complexity increases
Solution Approach 1:
The patent applies multi-functionality by using the same multiple sensors for both initial measurements and repeated measurements. The sensors serve dual purposes: first in acquiring the initial set of measurement values, then in acquiring repeated measurement values for noise equalization, thereby reducing the need for additional dedicated sensors.
Solution Approach 2:
The patent changes the measurement parameters by selecting different combinations of sensors for different measurement stages. For initial measurements, a first combination of sensors is used, while for repeated measurements, a second combination is used, allowing the system to manage complexity through parameter variation rather than hardware expansion.
Data Source
AI summary
A measurement device includes N (N≥2) sensors, a selection unit configured to select a predetermined combination of sensors in each measurement and output a detection value to each of M (M<N) sensor terminals based on measurement values provided by the selected sensors, a detection unit configured to acquire the detection value output to each of the M sensors in each measurement, and a correction unit configured to, after the measurement is performed L times, based on an assumption that each of M×L detection values acquired by the acquisition unit includes a time-dependent noise component, correct each of the M×L detection values such that the time-dependent noise component of each of the detection values is replaced by a common noise component obtained by averaging the L time-dependent noise components along a time axis.