Spatial Noise Models for OLED-Coupled Touch Sensor Antennas
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Noise from an OLED display couples onto touch sensor antennas, leading to non-uniform noise distribution and interfering with the accurate determination of stylus locations in touch-sensitive displays, particularly in TOE touch sensors, where the noise magnitude can be comparable to the stylus signal.
Innovation Solution
A spatial noise model is used to compensate for noise by determining noise compensation ratios for each antenna pair, storing these ratios in a model, and applying them to form a reduced-noise frame of touch sensor data, with additional compensation for antennas near the stylus location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If noise compensation ratios are determined for each antenna pair using a spatial noise model, then noise reduction effectiveness is improved, but device complexity increases
Solution Approach 1:
The touch sensor array is segmented into multiple antenna pairs, with each pair having its own noise compensation ratio stored in the spatial noise model. This allows localized noise compensation for each antenna pair rather than applying a uniform compensation across the entire array, improving precision while keeping the complexity manageable through structured segmentation.
Solution Approach 2:
Noise compensation ratios are pre-calculated and stored in the spatial noise model during manufacturing or initialization. This preliminary action allows the system to apply pre-determined compensation values during operation, avoiding real-time complex calculations and reducing operational complexity while maintaining high measurement precision.
2Measurement precision
If noise compensation is applied to all sensor antennas, then noise reduction is improved, but processing time increases
Solution Approach 1:
The noise compensation ratios are pre-calculated and stored in the spatial noise model before actual touch detection operations. During operation, the system simply retrieves and applies these pre-computed ratios to the raw touch sensor data, significantly reducing processing time while maintaining accurate noise compensation across all antenna pairs.
Solution Approach 2:
The spatial noise model stores copied representations of noise characteristics for each antenna pair in the form of compensation ratios. Instead of performing complex real-time noise analysis, the system uses these pre-copied noise profile representations to quickly compensate touch sensor data, reducing processing time while preserving measurement precision.
3Measurement precision
If a spatial noise model is implemented with antenna-specific noise compensation ratios, then noise compensation accuracy is improved, but memory requirements increase
Solution Approach 1:
The spatial noise model organizes compensation data by segmenting the touch sensor array into antenna pairs, with each pair having a dedicated noise compensation ratio. This segmentation allows efficient storage using only the necessary parameters for each pair rather than storing complete noise profiles, reducing memory requirements while maintaining high compensation accuracy.
Solution Approach 2:
The spatial noise model stores simplified parameter representations (noise compensation ratios) rather than complete noise signal waveforms or complex characterizations. This parameter change from storing full noise profiles to storing compact ratio values significantly reduces memory storage requirements while preserving the essential noise characteristics needed for accurate compensation.
Data Source
AI summary
Examples are disclosed relating to noise compensation ratios in a spatial noise model to compensate for noise in a frame of touch sensor data. One example provides a computing device comprising a display, a touch sensor, a logic machine, and a storage machine comprising instructions. The instructions are executable by the logic machine to receive a noise level for each sensor antenna of a set of sensor antennas of the touch sensor. The instructions are further executable to, for each pair of sensor antennas of the set of sensor antennas, determine a noise compensation ratio comprising a noise level of a first antenna of the pair of sensor antennas compared to a noise level of a second antenna of the pair of sensor antennas, and store the noise compensation ratio in a spatial noise model.