Advanced Circuits and Systems for Navigation-Grade MEMS Accelerometers

Silicon oscillating accelerometers have the potential to achieve navigation-grade precision due to their frequency-modulation nature. As a result, they present a promising alternative to quartz accelerometers in smart unmanned platforms that require satellite-free navigation. This tutorial will begin with an introduction to the fundamental principles and specification requirements of MEMS resonant sensors. It will then delve into the noise modelling and agile design methodologies essential for optimizing performance. Advancements in low-noise, highefficiency readout circuits will also be explored. Finally, the impact of long-term drift errors caused by temperature fluctuations, process variations, and environmental changes will be discussed, along with advanced compensation techniques. By addressing key challenges and solutions, this tutorial aims to provide valuable insights for sensor and system designers working on high-precision MEMS accelerometers and navigation applications. This talk is sponsored by IEEE Circuits and Systems Society.

Authors

Institutions

Publication Details

Published
2025-06-16
DOI
https://doi.org/10.1109/icdv66179.2025.11135152
Primary Topic
Advanced MEMS and NEMS Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advanced Circuits and Systems for Navigation-Grade MEMS Accelerometers

Jian Zhao
Advanced MEMS and NEMS Technologies
article

Advanced Circuits and Systems for Navigation-Grade MEMS Accelerometers

Jian Zhao
article en

Abstract

Silicon oscillating accelerometers have the potential to achieve navigation-grade precision due to their frequency-modulation nature. As a result, they present a promising alternative to quartz accelerometers in smart unmanned platforms that require satellite-free navigation. This tutorial will begin with an introduction to the fundamental principles and specification requirements of MEMS resonant sensors. It will then delve into the noise modelling and agile design methodologies essential for optimizing performance. Advancements in low-noise, highefficiency readout circuits will also be explored. Finally, the impact of long-term drift errors caused by temperature fluctuations, process variations, and environmental changes will be discussed, along with advanced compensation techniques. By addressing key challenges and solutions, this tutorial aims to provide valuable insights for sensor and system designers working on high-precision MEMS accelerometers and navigation applications. This talk is sponsored by IEEE Circuits and Systems Society.

Shanghai Jiao Tong University (CN)
Openalex Percentile: Top 78%
Advanced MEMS and NEMS Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.