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.
Keywords
Electronic NOSE
Explosive compounds
Multi-dimensional analysis
Optimal conditions
Real-time identification
Recursive least square (RLS)
Recursive least squares algorithms
Volatile compounds
Algorithms
Explosives
Pattern recognition
Sensors
Signal processing
Volatile organic compounds
Explosives detection