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Randomized resonant metamaterials for single-sensor identification of elastic vibrations
- Source :
- Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020), Nature Communications
- Publication Year :
- 2020
- Publisher :
- Nature Portfolio, 2020.
-
Abstract
- Vibrations carry a wealth of useful physical information in various fields. Identifying the multi-source vibration information generally requires a large number of sensors and complex hardware. Compressive sensing has been shown to be able to bypass the traditional sensing requirements by encoding spatial physical fields, but how to encode vibration information remains unexplored. Here we propose a randomized resonant metamaterial with randomly coupled local resonators for single-sensor compressed identification of elastic vibrations. The disordered effective masses of local resonators lead to highly uncorrelated vibration transmissions, and the spatial vibration information can thus be physically encoded. We demonstrate that the spatial vibration information can be reconstructed via a compressive sensing framework, and this metamaterial can be reconfigured while maintaining desirable performance. This randomized resonant metamaterial presents a new perspective for single-sensor vibration sensing via vibration transmission encoding, and potentially offers an approach to simpler sensing devices for many other physical information.<br />Designing efficient and flexible metamaterial with uncorrelated transmissions for spatial vibration encoding and identification remains a challenge. Here, the authors propose a randomized resonant metamaterial with randomly coupled local resonators for single-sensor identification of elastic vibrations.
- Subjects :
- 0301 basic medicine
Computer science
Acoustics
Science
General Physics and Astronomy
Physics::Optics
02 engineering and technology
General Biochemistry, Genetics and Molecular Biology
Article
03 medical and health sciences
Resonator
Physical information
Encoding (memory)
Physics::Chemical Physics
lcsh:Science
Multidisciplinary
Perspective (graphical)
Metamaterial
General Chemistry
021001 nanoscience & nanotechnology
Electrical and electronic engineering
Sensors and biosensors
Vibration
Applied physics
Identification (information)
030104 developmental biology
Compressed sensing
lcsh:Q
0210 nano-technology
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 11
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Nature Communications
- Accession number :
- edsair.doi.dedup.....cfc4de1b5d90ee155fe6c3788cdc3472