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AN4426 Datasheet(PDF) 10 Page - STMicroelectronics

Part # AN4426
Description  Tutorial for MEMS microphones
PDF  18 Pages
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Manufacturer  STMICROELECTRONICS [STMicroelectronics]
Direct Link  http://www.st.com
Logo STMICROELECTRONICS - STMicroelectronics

AN4426 Datasheet(HTML) 10 Page - STMicroelectronics

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Acoustic parameters
AN4426
10/18
DocID025704 Rev 1
2
Acoustic parameters
2.1
Sensitivity
The sensitivity is the electrical signal at the microphone output to a given acoustic pressure
as input. The reference of acoustic pressure is 1 Pa or 94 dBSPL@1kHz. The sound
pressure level, expressed in decibel, dBSPL=20*Log(P/Po) where Po = 20µPa is the
threshold of hearing. 20*Log(1Pa/20µPa) = 94 dBSPL
For analog microphones the sensitivity is expressed in mVRMS/Pa or dBV/Pa
For digital microphones the sensitivity is expressed in dBFS
dBV
dBFS. It is not correct to compare different units. As given in the above equations,
dBV is in reference to 1VRMS instead of dBFS where the reference is the digital full scale.
2.2
Directionality
The directionality indicates the variation of the sensitivity response with respect to the
direction of the arrival of the sound. MEMS microphones from ST are omnidirectional which
means that there is no sensitivity change to every different position of the source of the
sound in space. The directionality can be indicated in a Cartesian axis as sensitivity drift vs.
angle or in a polar diagram showing the sensitivity pattern response in space.
The following figure depicts the directionality in these two reference systems.
Figure 12. Omnidirectional microphone
2.3
SNR
The signal-to-noise ratio specifies the ratio between a given reference signal to the amount
of residual noise at the microphone output. The reference signal is the standard signal at the
microphone output when the sound pressure is 1Pa @ 1 kHz (microphone sensitivity). The
noise signal (residual noise) is the microphone electrical output at silence.
This parameter includes both the noise of the MEMS element and the ASIC. Concerning
this sum, the main contribution to noise is given by the MEMS sensor, the integrated circuit
contribution can be considered negligible. Typically, the noise level is measured in an
anechoic environment and A-weighting the acquisition. The A-weighted filter corresponds to
the human ear frequency response.



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