A real-time monitoring system for diesel and gasoline exhaust exposure

An integrated sensor array system is developed for detection and identification of environmental pollutants in diesel and gasoline exhaust fumes. The system includes a low noise floor analog front-end followed by a signal processing stage. Classification methods are used since the pollutants are oft...

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Bibliographic Details
Published in2009 16th International Conference on Digital Signal Processing pp. 1 - 5
Main Authors Konnanath, B., Hyuntae Kim, Spanias, A., Bakkaloglu, B., Wang, J., Mulchandani, A., Nosang Myung
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Array signal processing
Data mining
Feature extraction
Monitoring
Petroleum
Pollution
Real time systems
Sensor arrays
Sensor systems
Working environment noise
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Summary:An integrated sensor array system is developed for detection and identification of environmental pollutants in diesel and gasoline exhaust fumes. The system includes a low noise floor analog front-end followed by a signal processing stage. Classification methods are used since the pollutants are often encountered as complex mixtures. In this paper, we present techniques to detect, digitize and classify analytes. This is done by extracting appropriate features from sensor data and using pattern recognition methods to identify the analytes. The detection analog front-end achieves 54 dB SNR. The low-noise digitization technique is presented along with the feature extraction and classification algorithms. Comparative results are given for a series of pattern classifiers.
ISBN:9781424432974
1424432979
ISSN:1546-1874
2165-3577
DOI:10.1109/ICDSP.2009.5201081