Digital signal processing for diode laser sensors

Haris Riris; Clinton B. Carlisle; Russell E. Warren; Lewis W. Carr; David E. Cooper; Ramon U. Martinelli; Raymond J. Menna

doi:10.1117/12.205548

10 February 1995 Digital signal processing for diode laser sensors

Haris Riris, Clinton B. Carlisle, Russell E. Warren, Lewis W. Carr, David E. Cooper, Ramon U. Martinelli, Raymond J. Menna

Author Affiliations +

Proceedings Volume 2366, Optical Instrumentation for Gas Emissions Monitoring and Atmospheric Measurements; (1995) https://doi.org/10.1117/12.205548
Event: Optical Sensing for Environmental and Process Monitoring, 1994, McLean, VA, United States

Abstract

In recent years there has been renewed interest in using diode laser based sensors for environmental monitoring, industrial process control, and medical diagnostics applications. Diode lasers have the advantages of small size, non-intrusiveness, speed, ease of use, and high detection sensitivity. Several spectroscopic detection techniques can be employed with diode lasers, and digital signal processing algorithms can be used to enhance the detection sensitivity of a system. In our laboratory we used the following digital signal processing techniques to enhance the sensitivity and accuracy of near- and mid-infrared diode laser sensors: digital bandpass, Wiener, Kalman, and matched filtering, and a general least-squares fit. These digital signal processing algorithms have enhanced the signal-to-noise ratio of our sensors by an order of magnitude.

Citation Download Citation

Haris Riris, Clinton B. Carlisle, Russell E. Warren, Lewis W. Carr, David E. Cooper, Ramon U. Martinelli, and Raymond J. Menna "Digital signal processing for diode laser sensors", Proc. SPIE 2366, Optical Instrumentation for Gas Emissions Monitoring and Atmospheric Measurements, (10 February 1995); https://doi.org/10.1117/12.205548

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