Published February 16, 2023
| Version v1
Publication
High-availability displacement sensing with multi-channel self mixing interferometry
Contributors
Others:
- ONERA - The French Aerospace Lab [Châtillon] ; ONERA-Université Paris Saclay (COmUE)
- Institut de Physique de Nice (INPHYNI) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
Description
Laser self-mixing is in principle a simple and robust general purpose interferometric method, with the additional expressivity which results from nonlinearity. However, it is rather sensitive to unwanted changes in target reflectivity, which often hinders applications with non-cooperative targets. Here we analyze experimentally a multi-channel sensor based on three independent self-mixing signals processed by a small neural network. We show that it provides high-availability motion sensing, robust not only to measurement noise but also to complete loss of signal in some channels. As a form of hybrid sensing based on nonlinear photonics and neural networks, it also opens perspectives for fully multimodal complex photonics sensing.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://hal.science/hal-03992534
- URN
- urn:oai:HAL:hal-03992534v1
Origin repository
- Origin repository
- UNICA