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Proceedings Paper

Digital signal processing for diode laser sensors
Author(s): Haris Riris; Clinton B. Carlisle; Russell E. Warren; Lewis W. Carr; David E. Cooper; Ramon U. Martinelli; Raymond J. Menna
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Paper 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.

Paper Details

Date Published: 10 February 1995
PDF: 8 pages
Proc. SPIE 2366, Optical Instrumentation for Gas Emissions Monitoring and Atmospheric Measurements, (10 February 1995); doi: 10.1117/12.205548
Show Author Affiliations
Haris Riris, SRI International (United States)
Clinton B. Carlisle, SRI International (United States)
Russell E. Warren, SRI International (United States)
Lewis W. Carr, SRI International (United States)
David E. Cooper, SRI International (United States)
Ramon U. Martinelli, David Sarnoff Research Ctr. (United States)
Raymond J. Menna, David Sarnoff Research Ctr. (United States)


Published in SPIE Proceedings Vol. 2366:
Optical Instrumentation for Gas Emissions Monitoring and Atmospheric Measurements
Michael G. Yost; Dennis K. Killinger; Joseph Leonelli; William Vaughan; Dennis K. Killinger; William Vaughan; Michael G. Yost, Editor(s)

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