Signal Processing Device Noise Reduction Response Time
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Solution Overview
Problem
Laser displacement sensor devices face a trade-off between noise reduction performance and response time, as increasing the number of data points for moving average calculation improves noise reduction but significantly lengthens calculation time.
Innovation Solution
A signal processing device that combines a moving-average calculating unit with an infinite impulse response filter, where the filter coefficient is determined based on the difference between moving-average and infinite impulse response filter outputs, to reduce noise without increasing response time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of data points for moving average calculation is increased, then noise reduction performance is improved, but response time increases
Solution Approach 1:
The patent combines moving average calculation and infinite impulse response filter into a single signal processing device. The moving-average calculating unit computes moving average of the input signal, and the infinite impulse response filter processes this result to reduce noise. This merging allows the system to achieve effective noise reduction without requiring a large number of data points, thus maintaining fast response time while improving measurement precision.
Solution Approach 2:
The infinite impulse response filter acts as an intermediary between the moving average calculation and the final output. It takes the moving average result and further processes it to reduce noise components. This intermediary approach allows the system to achieve superior noise reduction performance without directly relying on increasing the number of data points for moving average calculation, thereby preventing response time increase.
2Measurement precision
If moving average calculation is used to reduce noise, then measurement precision is improved, but calculation time increases
Solution Approach 1:
The signal processing device merges moving average calculation with infinite impulse response filter processing. The moving-average calculating unit performs moving average on the input signal, and the infinite impulse response filter unit further processes this result. This combination achieves effective noise reduction with efficient calculation speed, as the infinite impulse response filter can reduce noise without requiring extensive data point accumulation.
Solution Approach 2:
The system changes the approach from relying solely on increasing the number of data points for moving average to using an infinite impulse response filter with appropriately designed filter coefficients. This parameter change in the signal processing methodology allows the system to maintain high calculation speed while achieving superior noise reduction performance.
3Measurement precision
If the length of the section for moving average calculation is increased, then noise reduction performance is improved, but response time increases
Solution Approach 1:
The infinite impulse response filter serves as an intermediary that processes the moving average result to further reduce noise. This intermediary processing allows the system to achieve effective noise reduction without increasing the length of the moving average section, thereby maintaining fast response time while improving measurement precision.
Solution Approach 2:
The patent replaces the mechanical approach of increasing data point accumulation for noise reduction with a digital signal processing approach using an infinite impulse response filter. This substitution allows the system to achieve superior noise reduction performance without the time penalty associated with extending the moving average section length.
Data Source
AI summary
A signal processing device for performing processing for reducing noise in a displacement amount measured on a basis of light reflected from a detection object includes a moving-average calculating unit that performs moving average calculation for an input signal to reduce a noise component included in the input signal and an infinite impulse response filter that reduces a noise component included in an input signal by digital signal processing. A filter coefficient of the infinite impulse response filter is determined on a basis of a difference between a first calculation result output by the moving-average calculating unit and a second calculation result output by the infinite impulse response filter when a same signal is input to the moving-average calculating unit and the infinite impulse response filter.


