By: Chris Welham, Senior Manager, MEMS Applications Engineering
A Section of a MEMS Microphone Model
Here at Coventor, we are seeing a lot of interest in simulating noise, particularly for condenser microphones. With any transducer noise reduction is always a plus, and with microphones there are two specific applications that need low noise. One is where the microphone is positioned away from the sound source, such as in video calling or when using voice commands with tablet computers. The other is where multiple microphones are positioned in an array, to detect the direction of incoming sound or for noise canceling applications. read more…
Tagged Johnson-Nyquist noise, MEMS, MEMS Condenser Microphone, mems design, MEMS Design Software, mems microphone, MEMS Noise Modeling, mems simulation, MEMS technology, MEMS+, Noise modeling
By: Jun Yan, Ph.D., MEMS Technical Director
Source: InfineonTechnologies, AG, “The Infineon Silicon MEMS Microphone”, DOI:10.5162/sensor2013/A4.3
MEMS microphones have emerged as a bright spot among consumer sensors, which in general are going through a rapid commoditization and profit-squeezing trend.
Tagged Apple Computer, Coventor, CoventorWare, FEA, Finite Element Analysis, Goertek, Knowles, MEMS Design Software, mems microphone, MEMS Microphone design, MEMS Microphone Design Software, MEMS Multiphysics, MEMS+, Multiphysics design software, SNR prediction, ST Microelectronics, STMicroelectronics, TSMC
By Tom Kevan, Desktop Engineering
It all started with smartphones and airbags. Design engineers began to integrate sensors in growing numbers into such systems to enable smarter performance. These applications mark the prelude to what Alberto Sangiovanni-Vincentelli, a professor at University of California, Berkeley, describes as a “sensory swarm” — a flood of heterogeneous sensors interfacing the cyber and physical worlds. By 2025, experts predict that the swarm could number as many as 7 trillion devices.
One of the first stages in the realization of this sensor-dominated world, the Internet of Things (IoT) requires technologies that can take on smaller form factors and operate on miserly power budgets. In their search to find sensing devices that can meet these requirements, designers have turned to micro-electromechanical systems, or MEMS. Before they can take full advantage of the miniaturization the technology offers and expand its role in the marketplace, engineers must be able to bridge the gaps between the MEMS, analog and digital design worlds. To do this, they will require a new set of tools.
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