2018
DOI: 10.1109/jlt.2018.2853984
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Characterization and Testing of a Micro-g Whispering Gallery Mode Optomechanical Accelerometer

Abstract: Navigation, bio-tracking devices and gravity gradiometry are amongst the diverse range of applications requiring ultrasensitive measurements of acceleration. We describe an accelerometer that exploits the dispersive and dissipative coupling of the motion of an optical whispering gallery mode (WGM) resonator to a waveguide. A silica microsphere-cantilever is used as both the optical cavity and inertial test-mass. Deflections of the cantilever in response to acceleration alter the evanescent coupling between the… Show more

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Cited by 53 publications
(51 citation statements)
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“…One of the critical parts of the field of AI is to realize the accelerate-feedback-control. Emerging AI applications, such as autopilot or robot walking, require effectively control output power according to the changes of environment, e.g., acceleration [31][32][33][34][35] . In a self-driving car, the output power of engine needs to be realized at the self-adjusted and unsupervised conditions in rapid response to emergency braking or other accidents, as schematically shown in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…One of the critical parts of the field of AI is to realize the accelerate-feedback-control. Emerging AI applications, such as autopilot or robot walking, require effectively control output power according to the changes of environment, e.g., acceleration [31][32][33][34][35] . In a self-driving car, the output power of engine needs to be realized at the self-adjusted and unsupervised conditions in rapid response to emergency braking or other accidents, as schematically shown in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Figure 3e illustrates the measured bias instability and VRW noise of ≈5.23 mg and 1.8 mg Hz −1/2 , respectively, which are the two very important parameters indicating the minimum achievable low‐frequency acceleration reading limited by flicker noise and the total noise density. [ 31,33 ] Figure 3f shows the converted acceleration power spectrum density (PSD) which indicates the non‐flat noise density in the low frequency range from 0.001 to 20 Hz. Theoretically, in pre‐oscillation mode, the thermal noise frequency fluctuation is given by: [ 41,42 ] δ Ω th = [( k B T / E C ) × (Ω m Δ f / Q m )] 1/2 , from the measured power spectra density and with Δ f the acquisition rate corresponding to the integration time, and E C = m x Ω m 2 〈 x c 2 〉 the energy in the carrier in the oscillator and 〈 x c 〉 the constant mean square amplitude.…”
Section: Resultsmentioning
confidence: 99%
“…Unprecedented levels of displacement sensitivity down to 1018 m Hz1/2 have been reached using cavity optomechanics [4,5], driven by techniques originating from experiments at gravitational wave observatories. Bench-top systems comprising of Fabry–Perot cavities, spherical micro-cavities that support whispering gallery mode (WGM) resonances, and chip-scale photonic crystals exploit these principles [4,5,6], and many show great promise as optical accelerometers, reaching sensitivities of ≤micro-g Hz1/2 (g = 9.81 ms2) [6,7,8], sufficient for detecting, for example, the acceleration of blood through the heart [9]. Subtle technical differences limit the sensitivity, known as the spectral noise density, between optomechanical and capacitive accelerometers but, in general, capacitive sensors require larger test-mass deflections and heavier proof masses to obtain a micro-g resolution, which in turn reduces the sensing bandwidth [10].…”
Section: Introductionmentioning
confidence: 99%