Enabling adaptive and enhanced acoustic sensing using nonlinear dynamics

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Lenk, Claudia
Seeber, Lars
Ziegler, Martin
Hövel, Philipp
Gutschmidt, Stefanie
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Institute of Electrical and Electronics Engineers (IEEE)
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Transmission of real-time data is strongly increasing due to remote processing of sensor data, among other things. A route to meet this demand is adaptive sensing, in which sensors acquire only relevant information using pre-processing at sensor level. We present here adaptive acoustic sensors based on mechanical oscillators with integrated sensing and actuation. Their dynamics are shifted into a nonlinear regime using feedback or coupling. This enhances dynamic range, frequency resolution and signal-to-noise ratio. Combining tunable sensing properties with sound analysis could enable acquiring of only relevant information rather than extracting this from irrelevant data by post-processing.
Sensors , Couplings , Oscillators , Acoustic beams , Resonant frequency , Actuators , Loudspeakers
Lenk, C., Seeber, L., Ziegler, M., Hövel, P. and Gutschmidt, S. (2020) 'Enabling adaptive and enhanced acoustic sensing using nonlinear dynamics', 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Seville, Spain, 10-21 October. doi: 10.1109/ISCAS45731.2020.9181214
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