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BMP384 데이터시트(PDF) 14 Page - Bosch Sensortec GmbH

부품명 BMP384
상세설명  Digital pressure sensor
PDF  58 Pages
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제조업체  BOSCH [Bosch Sensortec GmbH]
홈페이지  https://www.bosch-sensortec.com
Logo BOSCH - Bosch Sensortec GmbH

BMP384 데이터시트(HTML) 14 Page - Bosch Sensortec GmbH

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Bosch Sensortec | BMP384 Datasheet
14 | 58
Modifications reserved |Data subject not change without notice | Printed in Germany
Document number: BST-BMP384-DS003-11 Revision_1.0_112020
3.4.3. IIR filter
The environmental pressure is subject to many short-term changes, caused e.g. by slamming of a door or window, or wind
blowing into the sensor. To suppress these disturbances in the output data without causing additional interface traffic and
processor work load, the BMP384 features an internal IIR filter. It effectively reduces the bandwidth of the output signals7.
The output of a next measurement step is filter using the following formula:
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where data_filtered_old is the data coming from the previous acquisition, and data_ADC is the data coming from the ADC
before IIR filtering.
The IIR filter can be configured using setting iir_filter in “CONFIG” register (see 4.3.20).
When writing to the register filter, the filter is reset. The next value will pass through the filter and be the initial memory value
for the filter. IIR filter is reset if the temperature or pressure measurement is disabled (temp_en or press_en registers changed
from ‘1’ to ‘0’) or when a transition from sleep mode to normal mode occurs. After enabling of pressure or temperature
measurement, the filtering will start, thus the next incoming value will pass unfiltered and be the initial value of the IIR filter.
The step response (e.g. response to in sudden change in height) of different filter settings is displayed in Figure 6.
Figure 6: Step response at different IIR filter settings
3.4.4. Oversampling
Noise depends on the oversampling and filter settings selected. The stated values were determined in a controlled pressure
environment and are based on the average standard deviation of 32 consecutive measurement points taken at highest
sampling rate (for details please refer to Table 22). This is required to exclude long term drifts from the noise measurement.
7
Since most pressure sensors do not sample continuously, filtering can suffer from signals with a frequency higher than the sampling rate of the sensor.
E.g. environmental fluctuations caused by windows being opened and closed might have a frequency <5 Hz. Consequently, a sampling rate of ODR = 10
Hz is sufficient to obey the Nyquist theorem.



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