Enhanced Signal-to-Noise Performance of EP-based Electromechanical Accelerometers
Rodion Kononchuk, Jizhe Cai, Fred Ellis, Ramathasan Thevamaran and, Tsampikos Kottos

TL;DR
This paper demonstrates that an EP-based $ ext{PT}$-symmetric electromechanical accelerometer can achieve a three-fold improvement in signal-to-noise ratio by exploiting transmission peak degeneracies, surpassing noise limitations typically associated with EPs.
Contribution
The study introduces a novel approach to mitigate noise in EP-based sensors by utilizing transmission peak degeneracies, leading to enhanced sensor performance.
Findings
Three-fold increase in signal-to-noise ratio compared to non-optimized configurations.
Mitigation of eigenbasis collapse noise through detuning from transmission peak degeneracies.
Enhanced responsivity achieved without amplifying technical noise.
Abstract
Exceptional points (EP) are non-Hermitian spectral degeneracies where both eigenvalues and their corresponding eigenvectors coalesce. Recently, EPs have attracted a lot of attention as a means to enhance the responsivity of sensors, via the abrupt resonant detuning occurring in their proximity. In many cases, however, the EP implementation is accompanied by noise enhancement leading to the degradation of the signal-to-noise performance of the sensor . The excess noise can be of fundamental nature (due to the eigenbasis collapse) or of technical nature associated with the use of amplification mechanisms utilized for the realization of EPs. Here we show, using an EP-based -symmetric electromechanical accelerometer, that the enhanced technical noise can be surpassed by the enhanced responsivity to applied accelerations. The noise due to eigenbasis collapse is mitigated by…
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Taxonomy
TopicsMechanical and Optical Resonators · Geophysics and Sensor Technology · Advanced MEMS and NEMS Technologies
