Touch Detection Noise Reduction via Synchronous Differential Sampling
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Solution Overview
Problem
Touch detection devices face interference-related noise issues that degrade stability and resolution, often requiring additional shielding layers or complex structures, increasing costs and complexity.
Innovation Solution
Divide touch detection nodes into groups for synchronous sampling, calculate differential data, and filter out noise as a DC offset component to reduce interference influence without additional shielding, simplifying the structure and reducing costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If additional shielding layers or complex structures are added to reduce noise, then noise reduction effectiveness is improved, but device complexity and manufacturing cost increase
Solution Approach 1:
The patent replaces physical shielding structures with a signal processing method. By using synchronous sampling and differential calculation, the system eliminates noise through mathematical operations rather than physical barriers, thereby resolving the contradiction between noise reduction effectiveness and structural complexity
Solution Approach 2:
The patent introduces reference nodes as intermediaries to capture environmental noise. These reference nodes serve as mediators that allow the system to measure and subsequently subtract noise from detection node signals through differential calculation, achieving noise reduction without additional shielding layers
2Reliability
If additional shielding layers are added to reduce noise, then noise reduction effectiveness is improved, but manufacturing cost increases
Solution Approach 1:
The patent substitutes expensive physical shielding materials and complex manufacturing processes with a software-based signal processing approach. The synchronous sampling and differential calculation method eliminates the need for additional shielding layers, directly reducing manufacturing costs while maintaining noise reduction effectiveness
Solution Approach 2:
The patent uses inexpensive reference nodes that can be integrated into the existing sensor array without requiring expensive shielding materials. This approach replaces costly physical防护措施 with simple additional sensing elements that can be processed through computational methods
3Reliability
If synchronous sampling is performed on all detection nodes, then noise filtering effectiveness is improved, but processing time increases
Solution Approach 1:
The patent divides the sensor array into detection nodes and reference nodes, allowing parallel processing of multiple nodes simultaneously. By grouping nodes and performing synchronous sampling across groups, the system achieves comprehensive noise filtering while maintaining efficient processing throughput
Solution Approach 2:
The patent implements periodic synchronous sampling at optimized intervals. By determining appropriate sampling frequencies and performing differential calculations at regular intervals, the system maintains effective noise filtering while avoiding excessive processing overhead from continuous sampling
Data Source
AI summary
Noise reduction method and system for a touch detection device are disclosed. The noise reduction method includes: step A, performing a synchronous sampling on the touch detection nodes in one same group and storing the sampling data; step B, comparing each sampling data against a corresponding reference data to calculate a differential data which, as a detection data, replaces a corresponding original sampling data; step C, calculating statistics of the replacing detection data to screen out valid data to calculate a DC offset component indicative of a noise ingredient; and step D, obtaining noise-filtered detection data by subtracting the DC offset component from each detection data.