WO2012129828A1 - 触摸检测装置的降噪处理方法及系统 - Google Patents

触摸检测装置的降噪处理方法及系统 Download PDF

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Publication number
WO2012129828A1
WO2012129828A1 PCT/CN2011/073650 CN2011073650W WO2012129828A1 WO 2012129828 A1 WO2012129828 A1 WO 2012129828A1 CN 2011073650 W CN2011073650 W CN 2011073650W WO 2012129828 A1 WO2012129828 A1 WO 2012129828A1
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Prior art keywords
data
distribution
interval
touch
touch detection
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PCT/CN2011/073650
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English (en)
French (fr)
Inventor
邓耿淳
陈小祥
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深圳市汇顶科技有限公司
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Priority to US13/111,967 priority Critical patent/US8570293B2/en
Publication of WO2012129828A1 publication Critical patent/WO2012129828A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/041—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
    • G06F3/0416—Control or interface arrangements specially adapted for digitisers
    • G06F3/0418—Control or interface arrangements specially adapted for digitisers for error correction or compensation, e.g. based on parallax, calibration or alignment
    • G06F3/04182—Filtering of noise external to the device and not generated by digitiser components
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/041—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
    • G06F3/0412—Digitisers structurally integrated in a display
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/041—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
    • G06F3/044—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means by capacitive means
    • G06F3/0445—Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means by capacitive means using two or more layers of sensing electrodes, e.g. using two layers of electrodes separated by a dielectric layer

Definitions

  • the present invention belongs to the field of touch technologies, and in particular, to a method and system for detecting data noise reduction of a touch detection device.
  • the touch detection device includes various application forms such as a touch button, a touch panel, a touch screen, and the like, and specifically includes various touch detection methods such as infrared type, resistive type, ultrasonic type, inductive type, and capacitive type.
  • the touch controller is connected to the touch sensor, the touch detection data is collected on the sensor, and then the detection data is processed to determine the coordinate position of the touch point, as shown in FIG. 1 .
  • Sampling of the touch sensor is typically performed in a scanning manner on each of the detection nodes thereon.
  • the detecting nodes are a plurality of projected capacitive nodes in the form of a matrix formed vertically and horizontally on the surface of the touch screen; for a set of touch buttons, the detecting nodes are sensors corresponding to the positions of the respective touch buttons.
  • the touch controller can obtain the required sample data matrix by grouping or acquiring one by one.
  • Fig. 2 shows a sample data matrix obtained by a touch detecting device distributed with M*N detecting nodes in one sampling period. In addition to the single touch button, for most practical applications of touch detection devices, N+M ⁇ 3.
  • obtaining the M*N sample data generally requires group scanning to achieve a sufficient refresh rate. This grouping may be a combination of several rows or columns or some regional nodes. A typical example is the progressive sampling of samples to obtain test data:
  • the first line S 11 , S 12 , S 13 ... S 1j ... S 1n
  • the touch detection device performs detection sampling in a non-touch state to obtain a reference data matrix stored in the memory, as shown in FIG. 3, and then compares the new sample value with the reference value, specifically, calculation. The difference between them is shown in Figure 4A and Figure 4B:
  • the sampling data of each sampling scan period can calculate a corresponding set of difference data matrix, which is used as touch detection data for the next processing - determining the occurrence of a touch event or calculating the coordinate position of the touch point or Motion trajectories and more.
  • the specific calculation methods include threshold calculation method, watershed method or center of gravity calculation method, etc. No matter which method, the detection data matrix is compared with a predetermined threshold or threshold function to determine whether the touch event occurs and detection. Whether the position coordinates of the touched point are valid, and so on.
  • the reliability, stability and resolution of the touch detection result depend on the accuracy and stability of the touch detection data. If noise or error is included in the sampled value S ij , the same noise or error is passed to the difference D ij , which in turn allows subsequent calculations to produce erroneous results.
  • the display device 11, the casing 12, the driving electrode 13, the glass 14, the sensing electrode 15, and the outer layer panel 16 are arranged.
  • the driving electrodes need to be closely arranged on the entire touch sensor. One or several driving electrodes are driven each time during scanning and sampling, and the remaining driving electrodes are grounded. At this time, the driving electrodes also serve as shielding.
  • FIGS. 6A and 6B Another structure in which the driving electrodes 13 and the sensing electrodes 15 are alternately arranged on the same plane is as shown in FIGS. 6A and 6B. At this time, the driving electrodes 13 are not closely arranged to shield the sensing electrodes 15 and cannot function as a shielding layer. It is also necessary to additionally add a conductive shielding layer 24.
  • a technical problem to be solved by embodiments of the present invention is to provide a noise reduction processing method for a touch detection device, which aims to reduce external interference signals to touch terminal detection with minimum hardware overhead without relying on using an additional shielding layer on the sensor. The impact of the data.
  • Embodiments of the present invention provide a noise reduction processing method of a touch detection apparatus, which divides all touch detection nodes in the entire touch detection apparatus into groups (such as a group of each row, or a group of each column, or a combination of several rows and columns) ), synchronously sample each set of detection nodes, and follow the steps below:
  • Step A synchronously sampling the touch detection nodes belonging to the same group and saving the sampling data
  • Step B comparing each sample data with a respective reference reference value to calculate difference data, and replacing the original sample data as the detection data;
  • Step C performing statistics on the detection data obtained by replacing in step B, and filtering valid data from the preset screening conditions to calculate a DC offset component representing the noise component;
  • step D the detected DC offset component obtained in step B is subtracted from the detected data obtained in step B to obtain the detected data after noise filtering.
  • the embodiment of the present invention further provides a noise reduction processing system of the touch detection device, wherein the touch detection node of the touch detection device is divided into one or more groups, and the system includes:
  • a sampling unit configured to synchronously sample and store sample data of touch detection nodes belonging to the same group
  • a difference calculating unit configured to compare each sampled data sampled by the sampling unit with a respective reference reference value to calculate difference data, and replace the original sample data
  • a noise calculation unit configured to perform statistics on the detection data obtained by replacing the difference calculation unit, and filter valid data from the preset filter conditions to calculate a DC offset component that represents a noise component
  • a noise filtering unit configured to subtract the DC offset component obtained by the noise calculation unit from the detection data calculated by the difference calculation unit, to obtain the noise filtered detection data.
  • An embodiment of the present invention further provides a touch terminal, including a touch detecting device, the touch detecting device including a touch sensor unit and a touch controller unit connected to the touch sensor unit; the touch controller unit includes the above Touch detection data noise reduction processing system.
  • all the touch detection nodes in the entire touch detection device are divided into groups (such as a group of each row, or a group of each column, or a combination of rows and columns), and each group of detection points is synchronously sampled.
  • each set of sampled values the effects of the interfering signals are the same or nearly the same.
  • the sampling values of the same set of detection points are affected by the same amplitude and direction of the interference signal, so that the noise component in the sampled data can be filtered out as a DC offset component, thereby weakening the influence of the external interference signal on the touch detection device.
  • One of the most typical application effects of the present invention is to eliminate the shield layer 24 as shown in Figures 6A and 6B, which is simplified to a single layer process by a two-layer process, thereby reducing product cost.
  • FIG. 1 is a schematic diagram of a typical application of a touch detection device
  • 2 is a schematic diagram of a matrix of touch detection sampling data
  • FIG. 3 is a schematic diagram of a touch detection reference data matrix
  • 4A is a schematic diagram of calculating a difference value according to the detected sample value shown in FIG. 2 and the reference value shown in FIG. 3;
  • FIG. 4B is a schematic diagram of a touch detection difference data matrix calculated by FIG. 4A;
  • FIG. 5 is a structural diagram of a touch terminal provided by the prior art, in which the driving electrode and the sensing electrode are not in the same layer;
  • 6A is a structural diagram of another touch terminal provided by the prior art, where the driving electrode and the sensing electrode are in the same layer;
  • FIG. 6B is a view showing the shape of the driving electrode and the sensing electrode in the structural diagram shown in FIG. 6A;
  • FIG. 7 is a logic schematic diagram of noise reduction processing of a touch detection apparatus according to an embodiment of the present invention.
  • FIG. 8A is a flowchart of implementing a noise reduction processing method of a touch detection apparatus according to an embodiment of the present invention
  • FIG. 8B is a specific flowchart of performing noise filtering on detection data according to an embodiment of the present invention.
  • 8C is a mesh 3D distribution diagram of detection data before noise reduction processing according to an embodiment of the present invention.
  • FIG. 8D is a mesh 3D distribution diagram of detection data after noise reduction processing according to an embodiment of the present invention.
  • FIG. 8E is a flowchart of calculating a DC offset suitable for detecting a small number of touch points according to an embodiment of the present invention.
  • FIG. 8F is a flowchart of calculating a DC offset when a small number of touch points are detected according to an embodiment of the present invention.
  • FIG. 8G is a schematic diagram showing the principle of screening effective data in a simplified embodiment of the present invention.
  • FIG. 8H is a statistical distribution histogram of the first group of data in an embodiment of the present invention.
  • FIG. 8I is a statistical distribution histogram of a fifth group of data in an embodiment of the present invention.
  • FIG. 9 is a schematic structural diagram of a detection data noise reduction processing system of a touch detection device according to an embodiment of the present invention.
  • FIG. 10 is a hardware structural diagram of a touch terminal according to an embodiment of the present invention.
  • FIG. 11 is a schematic structural diagram of a noise calculation unit according to a first embodiment of the present invention.
  • FIG. 12 is a schematic structural diagram of a noise calculation unit according to a second embodiment of the present invention.
  • FIG. 13 is a schematic structural diagram of a noise calculation unit according to a third embodiment of the present invention.
  • 14A is a graph of a detection data array obtained by performing 15 sets of 150 original sample data obtained in the case of an interference signal and a corresponding reference value;
  • Figure 14B is a chart for setting a distribution interval for the data in Figure 14A;
  • 14C is a distribution diagram of the first group data and the fifth group data in FIG. 14A in the distribution interval shown in FIG. 14B;
  • Fig. 14D is a diagram showing a detection data array chart in which the noise component is filtered by subtracting the corresponding DC offset component from the respective sets of data in Fig. 14A.
  • the touch detection nodes are divided into groups (such as a group of each row, or a group of each column, or a combination of rows and columns), and each group is synchronously sampled, so that each group of sampled data is interfered with by the signal.
  • the effects are the same or nearly the same.
  • the sampling values of the same set of detection points are affected by the same amplitude and direction of the interference signal, and the noise component in the sampled data is filtered out as a DC offset component, thereby weakening the influence of the external interference signal on the touch detection device.
  • the configuration of the detection circuit must be such that the touch detection nodes arranged in the same group can perform simultaneous sampling.
  • the total number of touch detection nodes is relatively small, and there can be only one group. (Although the invention is applicable in principle to the application of a minimum of two touch detection nodes, the number of more touch detection nodes contributes to a more pronounced noise reduction effect.)
  • the logic implementation of the detection data noise reduction processing of the touch detection apparatus provided by the embodiment of the present invention is as shown in FIG. 7.
  • the logic includes two levels: a sampling layer and a noise filtering layer.
  • the sampling layer is sampled in parallel synchronization. This layer is responsible for acquiring the original sampling data of all detection channels in the same group at the same time and correcting them with reference to the reference.
  • the noise filtering layer performs statistical analysis on each set of sampling data, filters out noise components, and obtains the detected data after noise reduction.
  • FIG. 8A is a flowchart showing an implementation process of a method for detecting noise reduction of a touch detection device according to an embodiment of the present invention, which is described in detail as follows:
  • step S801 the touch detection nodes belonging to the same group are synchronously sampled and the sample data is saved.
  • the interference detection signals obtained by the synchronous sampling in the same group are also affected by the interference signals, which are the same or nearly the same. Therefore, in this embodiment, the noise component of each packet is calculated by statistical means to filter it.
  • S ij indicates that the i-th row and the j-th column correspond to the sampled data on the touch detection node
  • S 214 represents the sampled data on the detection node of the second row and the 14th column.
  • the first group of sampling data includes 10 sampling data distributed on the corresponding touch detecting nodes on the sensing electrodes of the 1-10th row simultaneously driven by the first driving electrode: S 11 , S 21 , . . . , S 101 ;
  • the second group of sampling data includes 10 sampling data distributed on the corresponding touch detection nodes on the sensing electrodes of the 1-10th row simultaneously driven by the second driving electrode: S 12 , S 22 , . . .
  • the 15th group of sampling data includes 10 sample data distributed on the corresponding touch detection nodes on the sensing electrodes of the 1-10th row simultaneously driven by the 15th driving electrode: S 115 , S 215 ,...,S 1015 .
  • the arrangement of the driving electrode and the sensing electrode may have different combinations, especially in Changes in spatial position, and thus the evolution of packet sampling data arrays in different order combinations.
  • the touch detection nodes that simultaneously complete the sampling are allocated in one group, so as to separate and filter the noise components in the next step.
  • each sample data is compared with a respective reference reference value to calculate difference data, and the original sample data is replaced as the detection data.
  • R ij is a reference reference value corresponding to the sampled data S ij
  • the difference data D ij is a calculation result for replacing S ij , thereby obtaining a result that the sampled data is corrected with respect to the reference data, that is, for the next step.
  • the reference data used in the actual application is static background detection data detected by the touch detection device in the state of no touch and no interference, and is a fixed systematic error for the actual detection value of the detection point, and needs to be in the sampled data. This error is subtracted to obtain useful test data.
  • Step S803 performing statistical calculation on the sampled data obtained in step S802, and filtering valid data from the preset filtering conditions to calculate a DC offset component representing the noise component.
  • the difference data obtained from step S802, that is, the detection data includes both the touch information component caused by the touch or the proximity event and the noise component caused by the interference.
  • the noise component therein is a DC-type offset for the set of sampled data obtained by the synchronous sampling method in step S801, so that the detected data is translated up and down, and the magnitude of the movement varies with the noise, but It is fixed and systematic in one sampling. The embodiment to be given later will specifically explain how to obtain this DC offset.
  • step S804 the DC offset component obtained in step S803 is subtracted from the detection data calculated in step S802, and the noise-filtered detection data is obtained.
  • steps S801, S802, S803, and S804 for each packet of its touch detection node means that the detection data used by the touch detection device in subsequent processing and control is To a large extent, noise interference is eliminated, so that the touch detection device can work reliably and stably in an interference environment.
  • Step S803 is further described below in several specific embodiments.
  • the DC offset component of a set of data there are several methods for calculating the DC offset component of a set of data.
  • the simplest of these is to calculate the overall average of the test data for this group.
  • the detected data contains, in addition to the systematic noise component, a local touch information component
  • simply calculating the population mean to represent the noise component is reasonable for a set of data that does not contain the touch component, because Adding data containing touch components to the calculation will affect the separation of systematic noise components.
  • the data elements ie, those that contain as little touch component as possible
  • step S803 can be decomposed into the following steps to achieve:
  • Step S80331 setting a threshold for determining a valid data interval; setting a distribution interval for statistically detecting the data distribution;
  • Step S80332 the interval distribution of the set of detection data obtained in step S802 is counted
  • Step S80333 finding the most dense interval of the detected data distribution and the sub-dense interval of the detected data distribution
  • Step S8033 determining whether the mean value of the data in the most densely distributed interval of the detected data distribution is greater than a threshold
  • Step S80335 if the determination in step S80334 is YES, it is further determined whether the mean value of the data in the sub-dense interval of the detected data distribution is smaller than the mean value of the data in the most dense interval of the detected data distribution;
  • Step S80337 if the determination in step S80334 is negative, or the determination in step S80335 is negative, the average value of the data in the most dense interval of the detection data distribution is saved;
  • the resulting average is the desired DC offset component.
  • FIG. 14A shows an array of detection data obtained by subtracting 150 original sample data obtained in the case of an interference signal with a corresponding reference value in 15 groups (each group includes 10 touch detection points) (FIG. 8C is detection data).
  • FIG. 8C is detection data.
  • the dynamic range of the detected data is -512 ⁇ +511, and the threshold is 200 according to experience (that is, it is assumed that the detected value exceeding 200 is necessarily recognized as a touch event), and then the distribution interval is set according to FIG. 14B.
  • step S80331 is completed.
  • step S80332 the partition distribution of the detected data obtained in step S802 is counted.
  • the following describes the statistical processing of the first set of detection data and the fifth set of detection data in FIG. 14A as an example.
  • FIG. 14C shows the statistical results obtained by comparing the first set of detection data and the fifth set of detection data in FIG. 14A, that is, the statistical results obtained in FIG. 14B: all of the 10 detection data in the first set of detection data fall in "-1" This interval.
  • Figure 8H is a more intuitive histogram showing this statistical result for the first set of detected data. Since the interval of "-1" is both the most densely distributed interval of the detection data and the sub-dense interval of the detection data distribution, and the average value of all the data in the interval is smaller than a given threshold, the step of statistical processing for the first set of detection data will be Yes:
  • the DC offset component of the first set of detected data is: -12.
  • Fig. 8I is an interval distribution histogram of the fifth group of detection data, which visually shows the distribution of the fifth group of data in Fig. 14C. Obviously, it can be seen that the distribution interval of the most densely distributed detection data is at the position of "-1", and the sub-dense interval of the detection data distribution is at the position of "-2". Since the average of the data of the most densely distributed interval of the detected data is less than a given threshold, the steps for statistical processing of the fifth set of detected data will be:
  • the DC offset component of the fifth set of detected data is: -62.
  • the fifth set of test data contains more touch information components.
  • the noise components are better separated by the steps described above.
  • the average values of the selected dense interval data of Groups 1 to 15 were calculated to be -12, 60, -8, -62, -62, -13, 54, 52, 5, -48, 11, and -60, respectively. , -71, -7, 36
  • the detected data of the noise component is filtered as shown in Fig. 14D (Fig. 8D is a mesh 3D distribution map after the data noise reduction processing):
  • FIGS. 8E and 8G illustrate another simplified flow of calculating a DC offset and a visual example thereof, which are suitable for detecting a small number of touch points, such as single point or double touch. happening.
  • This embodiment includes the following steps:
  • step S80321 a division value W for screening valid data is given.
  • step S80322 the population average value Avg of the set of detection data 8G3 obtained in step S802 is calculated.
  • Step S80323 according to the division value W given in step S80321 and the average value 8G4 obtained in step S80322, the valid data is filtered out from the detection data according to the range 8G1 which is not divided by the average value and the division value is the amplitude, that is, the search is performed.
  • the detected data falling between the range of (Avg-W) and (Avg+W) is used as the effective data for calculating the DC offset; the data of the 7th and 8th positions which are clearly marked with the touch information component are excluded.
  • step S80324 the data filtered in step S80323 is averaged to obtain a desired DC offset component 8G2 (DCoffset).
  • the last calculated effective data average value DCoffset is closer to the true DC offset component than the previous overall average value Avg.
  • the selection of the division value W may take 1/16 of the dynamic range of the detection data.
  • the division value W can be appropriately adjusted according to the data dynamic range of the touch detection device to ensure a stable effect.
  • FIG. 8F shows another flow of simplifying the calculation of the DC offset from FIG. 8B, which is suitable for detecting a small number of touch points (for example, single point or double touch).
  • the situation includes the following steps:
  • Step S80311 setting a distribution interval for statistically detecting the distribution of data
  • Step S80312 the interval distribution of the set of detection data obtained in step S802 is counted
  • Step S80313 finding the most dense interval of the detection data distribution
  • Step S8031 calculating an average value of data in the most dense interval of the detected data distribution
  • the resulting average is the desired DC offset component.
  • FIG. 9 shows the structural principle of the detection data noise reduction processing system of the touch detection device provided by the embodiment of the present invention.
  • the system can be integrated in a touch terminal as shown in FIG. 10, the touch terminal includes a touch detecting device, and the touch detecting device includes a touch sensor unit and a touch controller unit connected to the touch sensor unit, and FIG.
  • the system can be built into the microcontroller unit, which can be an application specific integrated circuit (ASIC) or a digital signal processor (DSP).
  • ASIC application specific integrated circuit
  • DSP digital signal processor
  • the detection data noise reduction processing system includes a sampling unit 91, a difference calculation unit 92, a noise calculation unit 93, and a noise filtering unit 94, wherein the sampling unit 91 is configured to synchronously sample touch detection nodes belonging to the same group. And storing the sampled data, the difference calculating unit 92 is configured to compare the sampled data sampled by the sampling unit with the respective reference reference values to calculate the difference data, replace the original sampled data as the detected data, and then use the noise.
  • the calculating unit 93 performs statistics on the detection data obtained by the difference calculating unit 92, and filters out the valid data from the preset filtering conditions to calculate the DC offset component of the noise component; finally, the noise filtering unit 94 calculates the difference.
  • the detected data calculated by the unit 92 is respectively subtracted from the DC offset component obtained by the noise calculating unit 93, and the detected data after the noise filtering is obtained.
  • FIG. 11 shows the structural principle of the noise calculation unit 93 provided by the first embodiment of the present invention, including a threshold and distribution interval setting module 9331, a detection data statistics module 9332, a first determination module 9333, and a second determination module 9334.
  • the threshold and distribution interval setting module 9331 is configured to set a threshold and a distribution interval, the threshold is used to determine a valid data interval, the set distribution interval is used to statistically detect data distribution, and the detection data statistics module 9332 is used for statistical difference.
  • the value calculating unit 92 replaces the interval distribution of the obtained set of detection data; the first determining module 9333 is configured to determine whether the mean amplitude of the data in the most dense interval of the detected data distribution is greater than a threshold; and the second determining module 9334 is configured to determine the first When the module 9333 determines that it is YES, it is further determined whether the mean value of the data in the sub-dense interval of the detected data distribution is smaller than the mean value of the data in the most dense interval of the detected data distribution.
  • the DC offset component determining module 9335 is configured to use, when the second determining module 9334 determines that it is YES, the mean value of the data in the sub-dense interval of the detected data distribution as the DC offset component; and is further used when the first determining module 9333 determines that the value is NO. Or when the second judging module 9334 determines NO, the mean value of the data in the most densely distributed data interval is detected as the DC offset component.
  • FIG. 12 shows the structural principle of the noise calculation unit 93 provided by the second embodiment of the present invention, including an effective data division setting module 9321, an average calculation module 9322, a valid data screening module 9323, and a DC offset component determination module. 9324.
  • the effective data division setting module 9321 is configured to set a division value for screening valid data; the average value calculation module 9322 calculates an overall average value of the set of detection data; the effective data screening module 9323 sets the module according to the effective data division setting module.
  • the divided value and the average value obtained by the average value calculating module are filtered out from the detected data according to a range not exceeding the average value and the divided value is the amplitude; the DC offset component determining module 934 will The data filtered by the effective data screening module is averaged, and the average value obtained is used as a required DC offset component.
  • FIG. 13 shows a structural principle of the noise calculation unit 93 according to the third embodiment of the present invention, which includes a distribution interval setting module 9311, a distribution interval statistics module 9312, and a DC offset component determination module 9313.
  • the distribution interval setting module 9311 is configured to set a distribution interval, where the distribution interval is used to statistically detect the data distribution;
  • the distribution interval statistics module 9312 collects the interval distribution of the set of detection data obtained by the difference calculation unit;
  • the offset component determining module 9313 averages the data in the most dense interval of the detected data distribution, which is counted by the distribution interval statistic module 9312, and obtains the average value as the required DC offset component.
  • An embodiment of the present invention further provides a touch terminal, including a touch detecting device, the touch detecting device including a touch sensor unit and a touch controller unit connected to the touch sensor unit; the touch controller unit includes the above Touch detection data noise reduction processing system.

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Description

触摸检测装置的降噪处理方法及系统 技术领域
本发明属于触控技术领域，尤其涉及一种触摸检测装置的检测数据降噪处理方法及系统。
背景技术
触摸检测装置包括有触摸按键、触摸面板、触摸屏等等多种应用形式，具体又包括红外式、电阻式、超声式、电感式、电容式等多种不同的触摸检测方式。在一个典型的触摸检测装置中，触摸控制器连接到触摸传感器，对传感器进行触摸检测数据采集，然后对检测数据进行处理以判断触摸点的坐标位置,具体如图1所示。
对触摸传感器的采样通常是对其上的各检测节点以扫描方式进行的。例如，对一个电容式多点触摸屏而言，检测节点就是纵横分布在触摸屏表面形成矩阵形式的多个投射式电容节点；对一组触摸按键而言，检测节点就是对应各个触摸按键位置的传感器。在每一个检测采样周期，触摸控制器通过分组或逐个获取的方式可以得到所需的采样数据矩阵。图2示出了一个分布有M*N个检测节点的触摸检测装置在一个采样周期中获得的采样数据矩阵。除了单个触摸按键的情况，对于大部分触摸检测装置的实际应用，都是N+M≥3。由于触摸控制器的硬件资源和处理能力有所限制，获得这M*N个采样数据一般需要分组进行扫描才能达到足够的刷新速度。这个分组可能是按照若干行或若干列或某些区域节点的组合。一个比较典型的例子就是逐行分组采样得到检测数据：
第一行：S11, S12, S13 … S1j … S1n
第二行：S21, S22, S23 … S2j … S1n
第i行：Si1, Si2, Si3 … Sij … Sin
第m行：Sm1, Sm2, Sm3 …Sij … Smn
按照一般的触摸检测原理，触摸检测装置在无触摸状态下进行检测采样得到基准数据矩阵保存在存储器里，如图3所示，然后将新的采样值与基准值进行对比，具体来说就是计算出他们的差值，具体过程见图4A和图4B：
Dij = Sij-Rij （其中i=1,2,…m; j=1,2,…n）
因此，每一个采样扫描周期的采样数据都可以计算出一组对应的差值数据矩阵，它们作为触摸检测数据用于进行下一步处理——判断触摸事件的发生或者计算出触摸点的坐标位置或运动轨迹等等。具体的计算方法有门限计算法、分水岭方法或重心计算方法等等，无论何种方法，最后都是将检测数据矩阵与某个预定的阈值或阈值函数进行比较，从而判断触摸事件是否发生以及检测到的触摸点的位置坐标是否有效，等等。
从上面的介绍可知，触摸检测结果的可靠性、稳定性和分辨率取决于触摸检测数据的精度和稳定度。如果在采样值Sij里面包含了噪声或误差，这个同样的噪声或误差就会传递到差值Dij里面去，进而使后续的计算得出有误差的结果。
但是，无论何种应用形式和检测方式的触摸检测装置，在实际使用当中都会遇到干扰。很多时候，干扰会给触摸检测数据带来较大的误差，影响到触摸检测结果的稳定性和分辨率，严重时甚至会使触摸检测装置得出误触摸以及触摸失控的检测结果。
以当前流行的电容式触摸屏为例，为了减少来自LCD模组以及其它外界干扰信号的影响，大都要求采用双层甚至三层结构的触摸传感器，其中最靠近显示器的导电层结构起屏蔽干扰信号的作用。
具体方案若采用图5所示的结构，包括显示设备11、机壳12、驱动电极13、玻璃14、感应电极15、外层面板16，此结构中驱动电极需要紧密排布于整个触摸传感器，扫描采样时每次驱动一条或几条驱动电极，其余驱动电极接地，此时驱动电极同时起到了屏蔽的作用。
另一个将驱动电极13与感应电极15交错排列在同一个平面上的结构如图6A和6B所示，此时驱动电极13不能紧密排列遮蔽感应电极15，无法起到屏蔽层的作用，因此这种方式还需要额外增加一个导电屏蔽层24。
这些结构方式有几点不足：一、增加了传感器制造工序的难度，使产品的良率下降，成本增加；二、增加了传感器的厚度，从而增加了重量，也降低了透光率；三、这种方式只能屏蔽来自传感器下方的干扰信号，如来自LCD显示器的干扰，而对其它干扰信号，如电源纹波干扰、射频干扰，则起不到抵御作用。
当前还有一种试图削减干扰影响的方法是在传感器中增加辅助的参考电极，设计一种结构让这个参考电极只受到干扰信号的影响而不受触摸的影响，由此让触摸控制器增加对参考电极的采样在理论上就可以消除外部干扰的影响。但是这办法会使触摸传感器的结构复杂化，而且也会占用更多的触摸控制器检测端口，显然会增加系统的成本。
 技术问题
本发明实施例所要解决的技术问题在于提供一种触摸检测装置的降噪处理方法，旨在无需依赖在传感器上使用额外的屏蔽层，以最低的硬件开销来减小外部干扰信号对触摸终端检测数据的影响。
技术解决方案
本发明实施例提供了一种触摸检测装置的降噪处理方法，将整个触摸检测装置中的所有触摸检测节点划分成若干组（如每行一组，或每列一组，或若干行列的组合），对每组检测节点进行同步采样，并按照以下步骤进行处理：
步骤A，对属于同一组的触摸检测节点进行同步采样并保存采样数据；
步骤B，将各采样数据分别与各自的基准参照值比对计算出差值数据，作为检测数据替换原采样数据；
步骤C，对步骤B中替换得到的检测数据进行统计，按照预设的筛选条件从中筛选出有效数据以计算表征噪声成分的直流偏移分量；
步骤D，将步骤B中计算得到的检测数据分别减去步骤C得到的直流偏移分量，得到噪声滤除后的检测数据。
本发明实施例还提供了一种触摸检测装置的降噪处理系统，所述触摸检测装置的触摸检测节点分为一个或多个组，所述系统包括：
采样单元，用于对属于同一组的触摸检测节点进行同步采样并保存采样数据；
差值计算单元，用于将所述采样单元采样到的各采样数据分别与各自的基准参照值比对计算出差值数据，替换原采样数据；
噪声计算单元，用于对所述差值计算单元替换得到的检测数据进行统计，按照预设的筛选条件从中筛选出有效数据以计算表征噪声成分的直流偏移分量；
噪声滤除单元，用于将所述差值计算单元计算得到的检测数据分别减去所述噪声计算单元得到的直流偏移分量，得到噪声滤除后的检测数据。
本发明实施例还提供了一种触摸终端，包括一触摸检测装置，所述触摸检测装置包括一触摸传感器单元、与触摸传感器单元连接的触摸控制器单元；所述触摸控制器单元包含如上所述的触摸检测数据降噪处理系统。
 有益效果
本发明实施例中，将整个触摸检测装置中的所有触摸检测节点分成若干组（如每行一组，或每列一组，或若干行列的组合），对每组检测点进行同步采样，以至于每组采样值受到干扰信号的影响也是相同或接近相同的。利用同一组检测点的采样值受到干扰信号影响的幅度和方向相同这一特点，从而可以将采样数据中的噪声成分作为直流偏移分量加以滤除，削弱外部干扰信号对触摸检测装置的影响。本发明一个最典型的应用效果就是使得如图6A和6B所示的触摸屏结构省掉屏蔽层24，由双层工艺简化为单层工艺，从而降低了产品成本。
附图说明
图1是触摸检测装置的典型应用示意图；
图2是触摸检测采样数据矩阵示意图；
图3是触摸检测基准数据矩阵示意图；
图4A是根据图2示出的检测采样值和图3示出的基准值计算差值的示意图；
图4B是图4A计算得到的触摸检测差值数据矩阵示意图；
图5是现有技术提供的触摸终端的结构图，驱动电极与感应电极不在同一层；
图6A是现有技术提供的另一种触摸终端的结构图，驱动电极与感应电极位于同一层；
图6B是图6A所示结构图中的驱动电极与感应电极形状图；
图7是本发明实施例提供的触摸检测装置的降噪处理的逻辑原理图；
图8A是本发明实施例提供的触摸检测装置的降噪处理方法的实现流程图；
图8B是本发明实施例提供的对检测数据进行噪声滤除的具体流程图；
图8C是本发明实施例提供的降噪处理前的检测数据的网状3D分布图；
图8D是本发明实施例提供的降噪处理后的检测数据的网状3D分布图；
图8E是本发明一实施例提供的适合检测少量触摸点的计算直流偏移量的流程图；
图8F是本发明一实施例提供的适合检测少量触摸点时的计算直流偏移量的流程图；
图8G，是本发明一简化实施例筛选有效数据的直观原理示意图；
图8H，是本发明一实施例中第一组数据的统计分布直方图；
图8I，是本发明一实施例中第五组数据的统计分布直方图；
图9是本发明实施例提供的触摸检测装置的检测数据降噪处理系统的结构原理图；
图10是本发明实施例提供的触摸终端的硬件结构图；
图11是本发明第一实施例提供的噪声计算单元的结构原理图；
图12是本发明第二实施例提供的噪声计算单元的结构原理图；
图13是本发明第三实施例提供的噪声计算单元的结构原理图；
图14A是15组在干扰信号情况下得到的150个原始采样数据与对应的基准值做差后得到的检测数据阵列图表；
图14B是对图14A中的数据设置分布区间的图表；
图14C是图14A中的第1组数据和第5组数据在图14B所示分布区间的分布图表；
图14D是将图14A中的各组数据分别减去对应的直流偏移分量后得到滤除了噪声成分的检测数据阵列图表。
 本发明的实施方式
为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。
本发明实施例中，将触摸检测节点分成若干组（如每行一组，或每列一组，或若干行列的组合），对每组进行同步采样，以至于每组采样数据受到干扰信号的影响也是相同或接近相同的。利用同一组检测点的采样值受到干扰信号影响的幅度和方向相同这一特点，进而将采样数据中的噪声成分作为直流偏移分量滤除，削弱外部干扰信号对触摸检测装置的影响。
为了在采样数据中捕捉到一致的噪声影响，就必须进行同步采样，但是对于触摸检测节点比较多的触摸检测系统，由于触摸控制器的硬件资源或处理能力的局限，不可能对所有的检测节点进行同步采样，而适当地进行分组采样和处理正好就可以解决这个矛盾。从结构上讲，被安排在同一组的触摸检测节点它们的空间位置上应该是挨近一起的。对于当前流行的采用“驱动电极+感应电极”模式的电容式多点触摸检测装置而言，上面所述的触摸检测节点分组是以触摸传感器中驱动电极为基本单位进行安排的，很容易实现同步采样。对于其它模式的触摸检测装置，其检测电路的配置务必使安排在同一组中的触摸检测节点可以进行同步采样。对于有些应用场合，总的触摸检测节点数比较少，这时就可以只有一个组。（尽管本发明原理上适用于最少两个触摸检测节点的应用，但是较多的触摸检测节点数量有助于获得更为明显的降噪效果。）
基于上述原理，本发明实施例提供的触摸检测装置的检测数据降噪处理的逻辑实现如图7所示，该逻辑包含两个层次：采样层和噪声滤除层。其中采样层以并行同步的方式进行采样，这一层负责同时获取同一组内的所有检测通道的原始采样数据并参照基准对他们进行修正。噪声滤除层对每组采样数据进行统计分析，滤除噪声成分，得到降噪后的检测数据。
图8A示出了本发明实施例提供的触摸检测装置的检测数据降噪处理方法的实现流程，详述如下：
在步骤S801中，对属于同一组的触摸检测节点进行同步采样并保存采样数据。
如上文所述，同一组中的同步采样得到的触摸检测数据受到的干扰信号的影响也是相同或接近相同的，因此本实施例通过统计方式计算出各分组的噪声分量从而对它加以滤除。举例说明，一个其传感器具有10行感应电极、15列驱动电极的触摸检测装置，其硬件结构如图10所示，其触摸检测节点数为10*15=150个，共有150个采样数据：
S11， S12，S13，…， S114， S115；
S21， S22，S23，…， S214， S215；
…
S101，S102，S103，…，S1014，S1015；
其中Sij表示第i行第j列对应触摸检测节点上的采样数据，例如，S214表示的是第2行第14列这个检测节点上的采样数据。
依照每列驱动电极上的触摸检测节点分组，第1组采样数据包含被第1条驱动电极同时驱动的分布在第1-10行感应电极上对应的触摸检测节点上的10个采样数据：S11，S21，…，S101；第2组采样数据包含被第2条驱动电极同时驱动的分布在第1-10行感应电极上对应的触摸检测节点上的10个采样数据：S12，S22，…，S102；以此类推，第15组采样数据包含被第15条驱动电极同时驱动的分布在第1-10行感应电极上对应的触摸检测节点上的10个采样数据：S115，S215，…，S1015。
本领域技术人员很容易理解，在实际实施中，由于传感器的走线等结构因素或者触摸控制器的引脚连接方式因素，驱动电极与感应电极的排列方式可以有不同的组合变化，特别是在空间位置方面的变化，因此还可以演变出不同顺序组合的分组采样数据阵列。但是无论怎样变化，原则上都是将同时完成采样的触摸检测节点分配在一个组里面，以便于下一步将其中的噪声成分进行分离和过滤。
步骤S802，将各采样数据分别与各自的基准参照值比对计算出差值数据，作为检测数据替换原采样数据。
这一步骤只是简单的减法运算：
Dij = Sij-Rij
其中，Rij为对应于采样数据Sij的基准参照值，差值数据Dij为计算结果用以替换Sij，从而得到采样数据相对于基准数据进行了修正的结果，也就是用于下一步处理的检测数据。实际应用中用到的基准数据是按照触摸检测装置在无触摸无干扰状态下检测到的静态背景检测数据，对检测点的实际检测值而言是一个固定的系统性误差，需要在采样数据中进行扣除此误差以得到有用的检测数据。
步骤S803，对步骤S802中替换得到的采样数据进行统计计算，按照预设的筛选条件从中筛选出有效数据以计算表征噪声成分的直流偏移分量。
这一步是本发明中最为关键部分。从步骤S802得到的差值数据，即检测数据，其中既包含有由触摸或接近事件引起的触摸信息成分又包含有被干扰引起的噪声成分。其中的噪声成分对于由步骤S801中以同步采样方式获得的这组采样数据而言，它是一个直流性质的偏移量，使得检测数据被上下平移，其移动的幅度随噪声变化而变化，但是在一次采样里面是固定的、系统性的。后面将给出的实施例将具体说明如何得到这个直流偏移量的。
步骤S804，将步骤S802中计算得到的检测数据分别减去步骤S803得到的直流偏移分量，得到噪声滤除后的检测数据。
在触摸检测装置的每个扫描检测周期中，对其触摸检测节点的每个分组完成步骤S801、S802、S803和S804也就意味着触摸检测装置在后续的处理和控制中所用到的检测数据在很大程度上是排除了噪声干扰的，从而使得触摸检测装置在干扰环境中能够可靠稳定地工作。
以下以几个具体实施例对步骤S803作进一步的说明。
对本发明所要解决的技术问题而言，计算一组数据的直流偏移分量有若干种方法可以选用。其中最简单的一种就是计算本组检测数据的总体平均值。但是，由于检测数据中除了包含有系统性的噪声成分还可能包含有局部的触摸信息成分，简单地计算总体平均值来代表噪声成分对于没有包含触摸成分的一组数据来说才是合理，因为将包含触摸成分的数据加入计算后将影响对系统性的噪声成分的分离。为了对噪声成分进行有效的分离，就需要将包含有触摸成分的数据排除在直流偏移分量的计算之外，更具体地说，也就是需要进行某种统计计算处理，原则上只挑选出有效的数据元素（即，尽量少包含触摸成分的那些数据）来计算直流偏移分量。以下给出几个计算直流偏移分量的具体实施例。
在一个典型实施例中，如图8B所示，步骤S803可以分解为下步骤来实现：
步骤S80331，设定阈值，用以判断有效数据区间；设置分布区间，用以统计检测数据分布情况；
步骤S80332，统计步骤S802中得到的一组检测数据的区间分布情况；
步骤S80333，找出检测数据分布最密集区间和检测数据分布次密集区间；
步骤S80334，判断是否检测数据分布最密集区间内数据的均值幅度大于阈值；
步骤S80335，若步骤S80334判断为是，则进一步判断是否检测数据分布次密集区间内数据的均值幅度小于检测数据分布最密集区间数据的均值幅度；
步骤S80336，若步骤S80335判断为是，则保存检测数据分布次密集区间内数据的平均值；
步骤S80337，若步骤S80334判断为否，或步骤S80335判断为否，则保存检测数据分布最密集区间内数据的平均值；
所得平均值，即为所需的直流偏移分量。
为清楚起见，下面以一组实际的采样数据举例说明上述方法和步骤。例如，图14A示出了15组（每组包含10个触摸检测点）在干扰信号情况下得到的150个原始采样数据与对应的基准值做差后得到的检测数据阵列（图8C为检测数据降噪处理前的网状3D分布图）：
在本实施例中，检测数据的动态范围为-512~+511，根据经验取阈值为200（也就是假定超过200的检测值必然被认定为触摸事件引起），接下来按照图14B设置分布区间，共有16个区间，覆盖了-512~+511的数值范围：
至此，完成了上述的步骤S80331。接下来的步骤S80332，统计步骤S802所得到的检测数据的分区分布情况，下面以图14A中第一组检测数据和第五组检测数据的统计处理为例分别说明。
图14C列出了图14A中第一组检测数据和第五组检测数据对照区间分布表即图14B得出的统计结果：第一组检测数据中的10个检测数据全部落在“-1”这个区间。图8H是表示对第一组检测数据的这个统计结果的更为直观的直方图。由于“-1”这个区间既是检测数据分布最密集区间又是检测数据分布次密集区间，并且此区间内所有数据的平均值小于给定的阈值，因此对第一组检测数据统计处理的步骤将是：
S80332 -> S80333 -> S80334 -> S80337
因此，第一组检测数据的直流偏移分量是：-12。
图8I是第五组检测数据的区间分布直方图，它直观地表示了图14C中第五组数据的分布情况。显然可以看出，检测数据分布最密集区间分布区间在“-1”这个位置，而检测数据分布次密集区间在“-2”这个位置。由于检测数据分布最密集区间数据的平均值小于给定的阈值，因此对第五组检测数据统计处理的步骤将是：
S80332 -> S80333 -> S80334 -> S80337
因此，第五组检测数据的直流偏移分量是：-62。
很明显，第五组检测数据中包含了较多的触摸信息成分。采取前面所述的步骤进行处理才可以将噪声成分进行了较好的分离。
计算第1组至第15组的筛选出的密集区间数据的平均值分别得到-12、60、-8、-62、-62、-13、54、52、5、-48、11、-60、-71、-7、36 ；这就是各组检测数据中由于干扰而混入的直流偏移分量，使检测数据由于干扰而非触摸的原因而或多或少偏离了基准；各组检测数据分别减去对应的直流偏移分量后得到滤除了噪声成分的检测数据如图14D（图8D为检测数据降噪处理后的网状3D分布图）：
无论从图14D中的数据还是从图8D中的直观的3D图，都可以明显判断出经过降噪处理后的检测数据更为清晰地突出了触摸检测信息成分，经过处理后原来起伏不定的背景噪声成分的幅度被显著地压缩了，这将为后续的处理中得到精准和稳定的触摸检测结果提供有力的保证。
无论从图14D中的数据还是从图8D中的直观的3D图，都可以明显判断出经过降噪处理后的检测数据更为清晰地突出了触摸检测信息成分，经过处理后原来起伏不定的背景噪声成分的幅度被显著地压缩了，这将为后续的处理中得到精准和稳定的触摸检测结果提供有力的保证。
对于触摸点比较少的应用，还可以给出其它简化实用的处理方法，以达到节省计算量和加快处理速度的目的。作为步骤S803的又一实施例，图8E和图8G示出了另一种简化的计算直流偏移量的流程及其直观实例图，适用于检测少量触摸点，例如单点或双点触摸的情况。本实施例包括下述步骤：
步骤S80321，给定一个用于筛选有效数据的划分值W。
步骤S80322，计算出步骤S802中得到的一组检测数据8G3的总体平均值Avg。
步骤S80323，根据步骤S80321给定的划分值W与步骤S80322得到的平均值8G4，按照不超出以平均值为中心以划分值为振幅的范围8G1，从检测数据中筛选出有效数据，也就是找出落在（Avg-W）与（Avg+W）范围之间的检测数据作为计算直流偏移量的有效数据；明显带有触摸信息成分的第7和第8位置的数据被排除在外。
步骤S80324，将步骤S80323筛选出的数据求平均值，即得到所需的直流偏移分量8G2（DCoffset）。
从图8G看出，最后算出的有效数据平均值DCoffset比前面的总体平均值Avg更为接近真实的直流偏移分量。在本实施例中，划分值W的选定可以取检测数据动态范围的1/16。对于不同的具体应用，划分值W可以根据触摸检测装置的数据动态范围适当调整选定，以保证获得稳定的效果。
作为步骤S803的再一简化实施例，图8F示出了另一种相对图8B做了简化的计算直流偏移量的流程，适用于检测少量触摸点（例如单点或双点触摸）的应用情况，包括下述步骤：
步骤S80311，设置分布区间，用以统计检测数据分布情况；
步骤S80312，统计步骤S802中得到的一组检测数据的区间分布情况；
步骤S80313，找出检测数据分布最密集区间；
步骤S80314，计算检测数据分布最密集区间内数据的平均值；
所得平均值，即为所需的直流偏移分量。
本领域普通技术人员可以理解实现上述各实施例提供的方法中的全部或部分步骤可以通过程序来指令相关的硬件来完成，所述的程序可以存储于一计算机可读取存储介质中，该存储介质可以为ROM/RAM、磁盘、光盘等。
图9示出了本发明实施例提供的触摸检测装置的检测数据降噪处理系统的结构原理，为了便于描述，仅示出了与本实施例相关的部分。本系统可集成于如图10所示的触摸终端内，该触摸终端包括一触摸检测装置，该触摸检测装置包括一触摸传感器单元、与触摸传感器单元连接的触摸控制器单元，而图9所示的系统可内置于该微控制器单元中，该微控制单元可以采用专用集成电路（ASIC）或数字信号处理器（DSP）。
参照图9，该检测数据降噪处理系统包括采样单元91、差值计算单元92、噪声计算单元93和噪声滤除单元94，其中采样单元91用于对属于同一组的触摸检测节点进行同步采样并保存采样数据，差值计算单元92则用于将所述采样单元采样到的各采样数据分别与各自的基准参照值比对计算出差值数据，替换原采样数据作为检测数据，然后由噪声计算单元93对差值计算单元92替换得到的检测数据进行统计，按照预设的筛选条件从中筛选出有效数据以计算表征噪声成分的直流偏移分量；最后由噪声滤除单元94将差值计算单元92计算得到的检测数据分别减去噪声计算单元93得到的直流偏移分量，得到噪声滤除后的检测数据。
进一步地，图11示出了本发明第一实施例提供的噪声计算单元93的结构原理，包括阈值及分布区间设置模块9331、检测数据统计模块9332、第一判断模块9333、第二判断模块9334、直流偏移分量确定模块9335。其中，阈值及分布区间设置模块9331用于设定阈值和分布区间，所述阈值用以判断有效数据区间，所述设置分布区间用以统计检测数据分布情况；检测数据统计模块9332用于统计差值计算单元92替换得到的一组检测数据的区间分布情况；第一判断模块9333用于判断检测数据分布最密集区间内数据的均值幅度是否大于阈值；第二判断模块9334用于在第一判断模块9333判断为是时，进一步判断是否检测数据分布次密集区间内数据的均值幅度小于检测数据分布最密集区间数据的均值幅度。直流偏移分量确定模块9335用于在第二判断模块9334判断为是时，将检测数据分布次密集区间内数据的均值作为直流偏移分量；还用于在第一判断模块9333判断为否时，或第二判断模块9334判断为否时，将检测数据分布最密集区间内数据的均值作为直流偏移分量。
进一步地，图12示出了本发明第二实施例提供的噪声计算单元93的结构原理，包括有效数据划分设置模块9321、平均值计算模块9322、有效数据筛选模块9323、直流偏移分量确定模块9324。其中，有效数据划分设置模块9321用于设置用于筛选有效数据的划分值；平均值计算模块9322计算出这组检测数据的总体平均值；有效数据筛选模块9323根据所述有效数据划分设置模块设置的划分值与所述平均值计算模块得到的平均值，按照不超出以平均值为中心、以划分值为振幅的范围，从检测数据中筛选出有效数据；直流偏移分量确定模块934则将所述有效数据筛选模块筛选出的数据求平均值，所得平均值作为所需的直流偏移分量。
进一步地，图13示出了本发明第三实施例提供的噪声计算单元93的结构原理，包括分布区间设置模块9311、分布区间统计模块9312、直流偏移分量确定模块9313。其中，分布区间设置模块9311用于设置分布区间，所述分布区间用以统计检测数据分布情况；分布区间统计模块9312统计所述差值计算单元替换得到的一组检测数据的区间分布情况；直流偏移分量确定模块9313将分布区间统计模块9312统计到的检测数据分布最密集区间内的数据的求平均，所得平均值作为所需的直流偏移分量。
本发明实施例还提供了一种触摸终端，包括一触摸检测装置，所述触摸检测装置包括一触摸传感器单元、与触摸传感器单元连接的触摸控制器单元；所述触摸控制器单元包含如上所述的触摸检测数据降噪处理系统。
本系统的所基于实现的技术原理如上文所述的方法相同，此处不再赘述。本实施例可适用于各种不同的触摸检测装置。
以上所述仅为本发明的较佳实施例而已，并不用以限制本发明，凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等，均应包含在本发明的保护范围之内。

Claims (9)

  1. 一种触摸检测装置的检测数据降噪处理方法，其特征在于，将触摸检测节点进行分组，并按照以下步骤进行处理：
    步骤A，对属于同一组的触摸检测节点进行同步采样并保存采样数据；
    步骤B，将各采样数据分别与各自的基准参照值比对计算出差值数据，作为检测数据替换原采样数据；
    步骤C，对步骤B中替换得到的检测数据进行统计，按照预设的筛选条件从中筛选出有效数据以计算表征噪声成分的直流偏移分量；
    步骤D，将步骤B中计算得到的检测数据分别减去步骤C得到的直流偏移分量，得到噪声滤除后的检测数据。
  2. 权利要求1所述的触摸检测装置的检测数据降噪处理方法，其特征在于，所述步骤C具体包括：
    步骤C21，设定阈值，用以判断有效数据区间；设置分布区间，用以统计检测数据分布情况；
    步骤C22，统计步骤B中得到的一组检测数据的区间分布情况；
    步骤C23，找出检测数据分布最密集区间和检测数据分布次密集区间；
    步骤C24，判断检测数据分布最密集区间内数据的均值幅度是否大于阈值；
    步骤C25，若步骤C24判断为是，则进一步判断是否检测数据分布次密集区间内数据的均值幅度小于检测数据分布最密集区间数据的均值幅度；
    步骤C26，若步骤C25判断为是，则将检测数据分布次密集区间内数据的均值作为直流偏移分量；
    步骤C27，若步骤C24判断为否，或步骤C25判断为否，则将检测数据分布最密集区间数据的均值作为直流偏移分量。
  3. 权利要求1所述的触摸检测装置的检测数据降噪处理方法，其特征在于，所述步骤C具体包括：
    步骤C31，给定一个用于筛选有效数据的划分值；
    步骤C32，计算出步骤B中得到的一组检测数据的总体平均值；
    步骤C33，根据步骤C31给定的划分值与步骤C32得到的平均值，按照不超出以平均值为中心、以划分值为振幅的范围，从检测数据中筛选出有效数据；
    步骤C34，将步骤C33筛选出的数据求平均值，所得平均值作为所需的直流偏移分量。
  4. 权利要求1所述的触摸检测装置的检测数据降噪处理方法，其特征在于，所述步骤C具体包括：
    步骤C41，设置分布区间，用以统计检测数据分布情况；
    步骤C42，统计步骤B中得到的一组检测数据的区间分布情况；
    步骤C43，找出检测数据分布最密集区间；
    步骤C44，计算检测数据分布最密集区间内数据的平均值，所得平均值作为所需的直流偏移分量。
  5. 种触摸检测装置的降噪处理系统，其特征在于，所述触摸检测装置的触摸检测节点分为一个或多个组，所述系统包括：
    采样单元，用于对属于同一组的触摸检测节点进行同步采样并保存采样数据；
    差值计算单元，用于将所述采样单元采样到的各采样数据分别与各自的基准参照值比对计算出差值数据，替换原采样数据；
    噪声计算单元，用于对所述差值计算单元替换得到的检测数据进行统计，按照预设的筛选条件从中筛选出有效数据以计算表征噪声成分的直流偏移分量；
    噪声滤除单元，用于将所述差值计算单元计算得到的检测数据分别减去所述噪声计算单元得到的直流偏移分量，得到噪声滤除后的检测数据。
  6. 权利要求5所述的触摸检测装置的降噪处理系统，其特征在于，所述噪声计算单元包括：
    阈值及分布区间设置模块，用于设定阈值和分布区间；所述阈值用以判断有效数据区间，所述设置分布区间用以统计检测数据分布情况；
    检测数据统计模块，用于统计所述差值计算单元替换得到的一组检测数据的区间分布情况；
    第一判断模块，用于判断检测数据分布最密集区间内数据的均值幅度是否大于阈值；
    第二判断模块，用于在所述第一判断模块判断为是时，进一步判断是否检测数据分布次密集区间内数据的均值幅度小于检测数据分布最密集区间数据的均值幅度；
    直流偏移分量确定模块，用于在所述第二判断模块判断为是时，将检测数据分布次密集区间内数据的均值作为直流偏移分量；还用于在所述第一判断模块判断为否时，或所述第二判断模块判断为否时，将检测数据分布最密集区间内数据的均值作为直流偏移分量。
  7. 权利要求5所述的触摸检测装置的降噪处理系统，其特征在于，所述噪声计算单元包括：
    有效数据划分设置模块，用于设置用于筛选有效数据的划分值；
    平均值计算模块，用于计算出这组检测数据的总体平均值；
    有效数据筛选模块，用于根据所述有效数据划分设置模块设置的划分值与所述平均值计算模块得到的平均值，按照不超出以平均值为中心、以划分值为振幅的范围，从检测数据中筛选出有效数据；
    直流偏移分量确定模块，用于将所述有效数据筛选模块筛选出的数据求平均值，所得平均值作为所需的直流偏移分量。
  8. 权利要求5所述的触摸检测装置的降噪处理系统，其特征在于，所述噪声计算单元包括：
    分布区间设置模块，用于设置分布区间；所述分布区间用以统计检测数据分布情况；
    分布区间统计模块，用于统计所述差值计算单元替换得到的一组检测数据的区间分布情况；
    直流偏移分量确定模块，将所述分布区间统计模块统计到的检测数据分布最密集区间内的数据的求平均，所得平均值作为所需的直流偏移分量。
  9. 种触摸终端，包括一触摸检测装置，所述触摸检测装置包括：
    一触摸传感器单元；
    与触摸传感器单元连接的触摸控制器单元；
    其特征在于：
    所述微控制单元包含如权利要求5至8任一项所述的降噪处理系统。
PCT/CN2011/073650 2011-03-28 2011-05-04 触摸检测装置的降噪处理方法及系统 WO2012129828A1 (zh)

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