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SX9331 Datasheet(PDF) 13 Page - Semtech Corporation |
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SX9331 Datasheet(HTML) 13 Page - Semtech Corporation |
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13 / 48 page ![]() SX9331 Final Datasheet April 21, 2023 www.semtech.com 13 of 48 Rev. 2 Proprietary & Confidential Semtech When the conductive object to be detected (finger/palm/face, etc) is not present, the sensor only sees an inherent capacitance value CEnv created by its electrical field’s interaction with the environment, in particular with ground areas. When the conductive object (finger/palm/face, etc) approaches, the electrical field around the sensor will be modified and the total capacitance seen by the sensor increased by the user capacitance CUser. This phenomenon is illustrated in the figure below. Overlay PCB Overlay PCB CSensor = CEnv CSensor = CEnv + CUser Figure 7: Proximity Effect on Electrical Field and Sensor Capacitance The challenge of capacitive sensing is to detect this relatively small variation of CSensor (CUser usually contributes for a few percent only) and differentiate it from environmental noise (CEnv also slowly varies together with the environment characteristics like temperature, etc). For this purpose, the chip integrates an auto offset compensation mechanism which dynamically monitors and removes the CEnv component to extract and process CUser only. In first order, CUser can be estimated by the formula below: A is the common area between the two electrodes hence the common area between the user’s finger/palm/face and the sensor. d is the distance between the two electrodes hence the proximity distance between the user and the system. 0 ε is the free space permittivity and is equal to 8.85 10e-12 F/m (constant) r ε is the dielectric relative permittivity. Typical permittivity of some common materials is given in the table below. Material Typical rε Glass 8 FR4 5 Acrylic Glass 3 Wood 2 Air 1 Table 8: Typical Permittivity of Some Common Materials From the discussions above we can conclude that the most robust and efficient design will be the one that minimizes CEnv value and variations while improving CUser. d A ε ε C r User 0 ⋅ ⋅ = |
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