Edgar J. Kaiser
Certified Consultant
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Posted:
6 months ago
2025年3月11日 GMT+8 16:01
Hi Rowan,
this is an interesting topic and I was doing a little research. I found this quite extensive Stack Exchange thread that has a couple of literature references:
https://physics.stackexchange.com/questions/110540/how-loud-is-the-thermal-motion-of-air-molecules
I find it interesting that the Brownian noise level is far below human hearing sensitivity but not far from animal hearing, e.g. cats. Everybody who has a cat knows how sensitive they are. So, sensitive microphones are likely to be limited by Brownian noise as well.
The thread is not showing how to implement Brownian noise in a numeric simulation. One option may be to implement a pressure boundary condition to the active microphone boundaries with suitable temporal and spatial random pressure fluctuations. The required intensity may be taken from the literature sources.
Electronic noise depends a lot on the amplifier frontend, active component (e.g. transistor, J-FET, tube, etc.), matching circuitry, etc. The first preamplifier stage is typically the dominant electric noise source.
Hope this can help a little. It would be interesting to hear about your progress. I cannot really contribute on the modeling side. I do a lot of acoustics, but I don't have the MEMS module.
Cheers
Edgar
-------------------
Edgar J. Kaiser
emPhys Physical Technology
www.emphys.com
Hi Rowan,
this is an interesting topic and I was doing a little research. I found this quite extensive Stack Exchange thread that has a couple of literature references:
https://physics.stackexchange.com/questions/110540/how-loud-is-the-thermal-motion-of-air-molecules
I find it interesting that the Brownian noise level is far below human hearing sensitivity but not far from animal hearing, e.g. cats. Everybody who has a cat knows how sensitive they are. So, sensitive microphones are likely to be limited by Brownian noise as well.
The thread is not showing how to implement Brownian noise in a numeric simulation. One option may be to implement a pressure boundary condition to the active microphone boundaries with suitable temporal and spatial random pressure fluctuations. The required intensity may be taken from the literature sources.
Electronic noise depends a lot on the amplifier frontend, active component (e.g. transistor, J-FET, tube, etc.), matching circuitry, etc. The first preamplifier stage is typically the dominant electric noise source.
Hope this can help a little. It would be interesting to hear about your progress. I cannot really contribute on the modeling side. I do a lot of acoustics, but I don't have the MEMS module.
Cheers
Edgar