Kalman Filters in Geotechnical Monitoring of Ground Subsidence Using Data from MEMS Sensors

The fast development of wireless sensor networks and MEMS make it possible to set up today real-time wireless geotechnical monitoring. To handle interferences and noises from the output data, Kalman filter can be selected as a method to achieve a more realistic estimate of the observations. In this...

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Detalles Bibliográficos
Autores principales: Li, Cheng, Azzam, Rafig, Fernández-Steeger, Tomás M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970153/
https://www.ncbi.nlm.nih.gov/pubmed/27447630
http://dx.doi.org/10.3390/s16071109

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970153/
https://www.ncbi.nlm.nih.gov/pubmed/27447630
http://dx.doi.org/10.3390/s16071109

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