ICA Algorithm Based on Intelligent Electronic Nose in the Mixed Gas of Feature Extraction

Electronic nose sensors in the gas mixture concentration of environmental pollution monitoring and detection of industrial waste gas has an important role, but because of the recognition capacity of existing algorithms and anti-jamming ability is poor, affecting recognition accuracy.Independent Component Analysis is a highly efficient method of blind signal separation. It an independent source signal from the mixed-signal separation. This paper through the electronic nose sensors to detect gas mixture signal, through the ICA decomposition algorithm of mixed gases on the outside interference to eliminate the noise, so that gas composition identified to achieve good results. Thanks to MATLAB simulation on the identification of the original gas composition come out with high precision.