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电容式触摸传感器的多级同时驱动技术分析

Analysis of Multi-Level Simultaneous Driving Technique for Capacitive Touch Sensors.

作者信息

Park Jong Kang, Lee Chang-Ju, Kim Jong Tae

机构信息

College of Information and Communication Engineering, Sungkyunkwan University, Seobu-ro 2066, 16419 Suwon, Korea.

System LSI Division, Samsung Electronics, 18448 Hwasung, Korea.

出版信息

Sensors (Basel). 2017 Sep 2;17(9):2016. doi: 10.3390/s17092016.

Abstract

The signal-to-noise ratio (SNR) and driving levels of capacitive touch sensors determine the applicability of these sensors to thinner displays and sensor-integrated modules. The simultaneous driving technique has been widely applied to capacitive touch sensors to cope with various types of environmental noise. A Hadamard matrix has been used to determine the driving code and multiplex capacitive signals required to increase the SNR and responsivity of touch sensors. Using multi-level Hadamard matrices, a new driving technique for sensing concurrent capacitive elements across multiple rows of a touch panel was developed. The technique provides more effective design choices than the existing bipolar driving method by supporting a variety of orders of matrices and regular capacity. The required TX voltage can be reduced by applying the Kronecker product for higher orders of simultaneous driving. A system model is presented for multiplexing capacitive signals to extract the SNR of the existing Hadamard matrices as well as one of the proposed multi-level sequences. In addition, the corresponding multi-level drivers and receivers were implemented to verify the theoretical expectations and simulation results of the proposed technique.

摘要

电容式触摸传感器的信噪比(SNR)和驱动电平决定了这些传感器在更薄显示屏和传感器集成模块中的适用性。同时驱动技术已被广泛应用于电容式触摸传感器,以应对各种类型的环境噪声。哈达玛矩阵已被用于确定提高触摸传感器的信噪比和响应度所需的驱动代码和多路复用电容信号。利用多级哈达玛矩阵,开发了一种用于感测触摸面板多行上并发电容元件的新驱动技术。与现有的双极驱动方法相比,该技术通过支持各种矩阵阶数和规则电容,提供了更有效的设计选择。对于更高阶的同时驱动,通过应用克罗内克积可以降低所需的TX电压。提出了一个用于多路复用电容信号的系统模型,以提取现有哈达玛矩阵以及所提出的多级序列之一的信噪比。此外,还实现了相应的多级驱动器和接收器,以验证所提技术的理论预期和仿真结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd0b/5620984/6909d919dcca/sensors-17-02016-g001.jpg

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