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Inertial sensors: strength in numbers

Inertial sensors such as accelerometers and gyroscopes are used nearly everywhere, from smartwatches to submarines, drones, spacecraft, vacuum cleaners and even game controllers. The purpose of these sensors is to indicate the position, speed or direction of an object. Their drawback is their lack of precision, at least when it comes to the low-cost versions used in many devices. However, thanks to support from the Swiss National Science Foundation (SNSF), there may be a way to solve this problem. In a paper published in IEEE Transactions on Signal Processing, a team , to which belong Professor Stéphane Guerrierand Ph.D. candidate Yuming Zhang reports that networking several inexpensive sensors is a viable alternative to more powerful sensors.
Inertial sensors such as accelerometers and gyroscopes are used nearly everywhere - from smartwatches to submarines, drones, spacecraft, vacuum cleaners, and even game controllers. The purpose of these sensors is to indicate the position, speed, or direction of an object. The drawback is their lack of precision, particularly with the low-cost versions used in many devices. However, thanks to support from the Swiss National Science Foundation (SNSF), there may be a way to resolve this issue. In a paper published in IEEE Transactions on Signal Processing, a team, including GSEM Professor Stéphane Guerrier and Ph.D. candidate Yuming Zhang, reports that networking several inexpensive sensors is a viable alternative to more powerful sensors.

> Read the full paper published in the IEEE Transactions on Signal Process, Scale-wise Variance Minimization for Optimal Virtual Signals: An Approach for Redundant Gyroscopes
https://doi.org/10.1109/TSP.2022.3208733

> For more information on this research, please consult the web page published by the GSEM.
> To read the Swiss National Science Foundation article, please click on the link

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