Recursive Least Squares algorithm dedicated to early recognition of explosive compounds thanks to multi-technology sensors

A. Mayoue 1 A. Martin 1 G. Lebrun 1 A. Larue 1
1 LADIS - Laboratoire d'analyse des données et d'intelligence des systèmes
DM2I - Département Métrologie Instrumentation & Information : DRT/LIST/DM2I
Abstract : In this paper, a novel gas identification approach based on the Recursive Least Squares (RLS) algorithm is proposed. We detail some adaptations of RLS to be applied to a sensor matrix of several technologies in optimal conditions. The low complexity of the algorithm and its ability to process online samples from multi-sensor make the real-time identification of volatile compounds possible. The effectiveness of this approach to early detect and recognize explosive compounds in the air has been successfully demonstrated on an experimentally obtained dataset.
Keywords : Recursive least squares algorithms Volatile compounds Algorithms Explosives Pattern recognition Sensors Signal processing Volatile organic compounds Explosives detection Recursive least square (RLS) Real-time identification Optimal conditions Multi-dimensional analysis Explosive compounds Electronic NOSE
Document type :
Conference papers
Complete list of metadatas
https://hal-cea.archives-ouvertes.fr/cea-01830772
Contributor : Léna Le Roy <>
Submitted on : Thursday, July 5, 2018 - 1:12:53 PM
Last modification on : Monday, May 13, 2019 - 11:15:41 AM

Identifiers

Collections

CEA | DRT | LIST | DM2I

Citation

A. Mayoue, A. Martin, G. Lebrun, A. Larue. Recursive Least Squares algorithm dedicated to early recognition of explosive compounds thanks to multi-technology sensors. 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, Vancouver, BC, Canada. pp.8761-8765, ⟨10.1109/ICASSP.2013.6639377⟩. ⟨cea-01830772⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

70

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD