Multi-band asymmetric piezoelectric MEMS microphone inspired by the Ormia ochracea

Bauer, Ralf; Windmill, James F. C.; Uttamchandani, Deepak

doi:10.1109/memsys.2016.7421830

Cited by 22 publications

(19 citation statements)

References 9 publications

(9 reference statements)

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“…Due to its relatively reduced complexity, insect hearing has been used as a model to inspire novel designs of miniaturized microphones [13][14][15]. Working towards that, we introduced a novel concept of a frequency-agile system bio-inspired by the auditory system of a moth -Noctua pronuba [16].…”

Section: Introductionmentioning

confidence: 99%

Simple Ears Inspire Frequency Agility in an Engineered Acoustic Sensor System

2017

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Abstract-Standard microphones and ultrasonic devices are generally designed with a static and flat frequency response in order to address multiple acoustic applications. However, they may not be flexible or adaptable enough to deal with some requirements. For instance, when operated in noisy environments such devices may be vulnerable to wideband background noise which will require further signal processing techniques to remove it, generally relying on digital processor units. In this work, we consider if microphones and ultrasonic devices could be designed to be sensitive only at selected frequencies of interest, whilst also providing flexibility in order to adapt to different signals of interest and to deal with environmental demands. This research exploits the concept where the "transducer becomes part of the signal processing chain" by exploring feedback processes between mechanical and electrical mechanisms that together can enhance peripheral sound processing. This capability is present within a biological acoustic system, namely in the ears of certain moths. That was used as the model of inspiration for a smart acoustic sensor system which provides dynamic adaptation of its frequency response with amplitude and time dependency according to the input signal of interest.

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Section: Introductionmentioning

confidence: 99%

Simple Ears Inspire Frequency Agility in an Engineered Acoustic Sensor System

2017

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“…Historically, potential advantages cited for piezoelectric MEMS microphones include no backplate, no required bias voltage, and a relatively large capacitance compared to capacitively transduced MEMS microphones. More recently, piezoelectric sensing has proven useful for prototyping microphones with unconventional geometries, such as microphones mimicking the hearing organs of insects [5–7] and human cochleas [8], and microphones employing dense cantilever arrays for “pre-filtering” captured sound [9]. …”

Section: Introductionmentioning

confidence: 99%

On the theoretical maximum achievable signal-to-noise ratio (SNR) of piezoelectric microphones

Seo

Corona

Hall

2017

Sensors and Actuators A: Physical

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A theoretical maximum achievable signal to noise ratio (SNR) for piezoelectric microphones is identified as a function of only microphone volume irrespective of architecture and construction details. For a given piezoelectric material, microphone SNR can be reduced to an expression containing only a dimensionless coupling coefficient and microphone volume. For a given material, the coupling coefficient has a theoretical upper bound defined by the most favorable deformation geometry. The ability to identify a theoretical maximum SNR as a function of only microphone size is surprising considering the numerous design variables and infinite design freedom afforded in the microphone design stage.

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“…sound) in a limited time frame [1]. Designing acoustic sensors such as MEMS microphones, which are inspired by nature is not new [2][3][4]. Moreover, a novel acoustic bio-inspired concept was recently presented in [5] where the "transducer becomes part of the signal processing chain".…”

Section: Introductionmentioning

confidence: 99%

Towards the development of a frequency agile MEMS acoustic sensor system

et al. 2017

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Multi-band asymmetric piezoelectric MEMS microphone inspired by the Ormia ochracea

Cited by 22 publications

References 9 publications

Simple Ears Inspire Frequency Agility in an Engineered Acoustic Sensor System

Simple Ears Inspire Frequency Agility in an Engineered Acoustic Sensor System

On the theoretical maximum achievable signal-to-noise ratio (SNR) of piezoelectric microphones

Towards the development of a frequency agile MEMS acoustic sensor system

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