Recursive Least Squares algorithm dedicated to early recognition of explosive compounds thanks to multi-technology sensors - CEA - Commissariat à l’énergie atomique et aux énergies alternatives Access content directly
Conference Papers Year : 2013

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

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.
No file

Dates and versions

cea-01830772 , version 1 (05-07-2018)

Identifiers

Cite

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⟩
57 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More