Adaptive Sensor Interference Compensation for Nonlinear Distortion
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Solution Overview
Problem
Conventional methods for compensating interference signals in sensors, such as micromechanical sensors, are limited to linear filtering and cannot effectively handle signal convolution or nonlinear signal distortion, leading to inaccurate sensor output signals.
Innovation Solution
A method and device that utilize adaptive filtering with upsampling of interference signals to a higher sampling frequency, combined with an adaptive filter unit, to compensate for interference signals, including broadband convolved interference, using algorithms like LMS, RLS, NLMS, or artificial neural networks to iteratively adjust filter coefficients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional linear filtering methods are used to compensate interference signals, then the filtering process is simple and computationally efficient, but the method cannot effectively handle signal convolution or nonlinear signal distortion
Solution Approach 1:
The patent applies dynamics by transitioning from static linear filtering to dynamic adaptive filtering. The filter coefficients are continuously adjusted based on the input signal characteristics through algorithms like LMS or RLS, enabling the system to adapt to nonlinear and time-varying interference patterns while maintaining computational feasibility
Solution Approach 2:
The patent changes the parameters of the filtering system by using adaptive algorithms that modify filter coefficients in real-time. This allows the same filtering structure to handle both linear and nonlinear interference by dynamically adjusting its parameters based on the observed signal characteristics
2Reliability
If the sensor is decoupled from interference signals using complex damper packages or special PCB designs, then interference compensation is achieved, but the device complexity increases
Solution Approach 1:
The patent replaces mechanical/physical interference suppression methods (damper packages, special PCB designs) with signal processing-based adaptive filtering. This substitution achieves interference compensation through algorithmic means rather than physical modifications, thereby reducing device complexity while maintaining or improving compensation effectiveness
Solution Approach 2:
The patent introduces an adaptive filter as an intermediary processing stage between the sensor and the output. This intermediary component processes the sensor signal to remove interference without requiring physical modifications to the sensor or its mounting structure
3Measurement precision
If adaptive filtering with upsampling is used to compensate for broadband convolved interference signals, then measurement precision is improved, but computational complexity and processing time increase
Solution Approach 1:
The patent applies preliminary action by performing upsampling of the interference signal before adaptive filtering. This preprocessing step prepares the signal by increasing its sampling rate to match the higher bandwidth requirements, enabling the subsequent adaptive filter to effectively process broadband convolved interference without requiring excessive computational resources during the main filtering operation
Data Source
AI summary
Method for compensating for an interference signal in a sensor. The method includes: sampling a sensor signal from the sensor at a first sampling frequency to generate a sampled sensor signal; providing a sampled first interference signal, which is sampled at the first sampling frequency and then upsampled to a second sampling frequency, wherein the second sampling frequency is higher than the first sampling frequency, and/or providing a sampled second interference signal, wherein the interference signal is sampled at the second sampling frequency; upsampling the sensor signal sampled at the first sampling frequency to the second sampling frequency to generate an upsampled sensor signal; and filtering the provided sampled interference signals via an adaptive filter unit to generate a filtered output signal with a compensated interference signal, wherein the upsampled sensor signal is applied as a reference signal to a reference signal input of the adaptive filter unit.