Papers
Topics
Authors
Recent
Search
2000 character limit reached

MEMS chip-based single proof-mass triaxial fiber-optic accelerometer with ultra-low noise level

Published 26 Aug 2025 in physics.optics and physics.app-ph | (2508.18981v1)

Abstract: High-precision triaxial acceleration detection holds critical applications in seismic wave detection, geological resource exploration, and aerospace systems. Fabry-Perot (FP) optical sensors have gained widespread adoption in these domains due to their compact footprint and immunity to electromagnetic interference. Nevertheless, conventional three-axis measurements predominantly rely on assembling multiple single-axis transducers, introducing limitations such as increased device volume and misalignment errors. In this paper, we demonstrate a MEMS based monolithically integrated triaxial optical accelerometer that integrates a compact size with minimal noise and low crosstalk. The triaxial sensing structure employs a shared proof mass, achieving significant miniaturization compared to conventional multi-chip assembled triaxial optical accelerometers. In-plane sensing is realized through folded spring beams, while out-of-plane detection utilizes U-shaped suspension beams with widened central segments to suppress cross-axis sensitivity and enhance mechanical responsivity. Experimental results demonstrate that an operational bandwidth of 1\sim35 Hz, a minimum detectable acceleration of 4.12 ng/\sqrt{Hz}, and crosstalk below 0.023\%. The compact sensor footprint measures 16 mm \times 16 mm \times 0.5 mm. This optical accelerometer achieves nano-g resolution in the three-axis direction, demonstrating strong potential for applications in seismic wave detection and other precision vibration monitoring fields.

Authors (2)

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Tweets

Sign up for free to view the 1 tweet with 0 likes about this paper.