A 10.1” 183- \mu \text /electrode, 0.73-mm2/sensor High-SNR 3-D Hover Sensor Based on Enhanced Signal Refining and Fine Error Calibrating Techniques

A high-signal-to-noise ratio (SNR) inductor-free 3-D hover sensor is presented. This paper solved the low-signal component issue, which is the biggest problem in 3-D hover sensing. For this purpose, we propose a power- and cost-effective high-voltage driving technique in the self-capacitance sensing...

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Bibliographic Details
Published inIEEE journal of solid-state circuits Vol. 53; no. 4; pp. 1079 - 1088
Main Authors Huh, Yeunhee, Hong, Sung-Wan, Park, Sang-Hui, Shin, Changsik, Bang, Jun-Suk, Park, Changbyung, Park, Sungsoo, Cho, Gyu-Hyeong
Format Journal Article
LanguageEnglish
Published New York IEEE 01.04.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:A high-signal-to-noise ratio (SNR) inductor-free 3-D hover sensor is presented. This paper solved the low-signal component issue, which is the biggest problem in 3-D hover sensing. For this purpose, we propose a power- and cost-effective high-voltage driving technique in the self-capacitance sensing scheme (SCSS) and lateral resolution optimization of a touch panel. In addition, the huge panel offsets in the SCSS from both vertical panel capacitance (C SV ) and horizontal panel capacitance (C SH ) can effectively be eliminated by exploiting the panel's natural characteristics, without using other costly resources. Therefore, in the proposed design, the total calibration block is minimized only for parasitic capacitance mismatches. Last, by adopting new driving scheme, two-phase simultaneous sensing is enabled to increase the SNR further. The proposed hover sensing system achieved a 39-dB SNR at a 1-cm hover point under a 240-Hz scan rate condition in noise experiments, while consuming 183 <inline-formula> <tex-math notation="LaTeX">\mu \text{W} </tex-math></inline-formula>/electrode and 0.73 mm 2 /sensor, which are the lowest power per electrode performance and the smallest die-area per sensor performance, respectively, in comparison to the state-of-the-art 3-D hover systems.
ISSN:0018-9200
1558-173X
DOI:10.1109/JSSC.2017.2772803