Lawrence Condatore, Richard Guthrie, Bruce Bradshaw, Kenyon Logan, Larry Lingvay, Thomas Smith, Thomas Kaffenberger, Bruce Jezek, V. James Cannaliato, William Ginley, William Hungate
KEYWORDS: Signal processing, Receivers, Sensors, Clouds, LIDAR, Telescopes, Signal detection, Data processing, Human-machine interfaces, Biological detection systems
Schwartz Electro-Optics, Inc. (SEO) is developing a second- generation LIDAR-based long range aerosol detection and assessment system called the Counter-Proliferation Long Range-Biological Standoff Detection System (CP LR-BSDS) for the U.S. Army Soldier and Biological Chemical Command (SBCCOM). CP LR-BSDS will be a palletized, self-contained system for use on the Army's UH-60A (Blackhawk) helicopter for long range detection and shape classification of long-line source aerosol clouds. This paper presents the key subsystem design considerations and operational characteristics of the CP LR-BSDS.
We showed that the output of a cross-correlation with gas spectra could be triple-correlated to reduce the effects of Gaussian noise for improved discrimination. Such processing is directly applicable to a correlation spectrometer but could be applied to other designs. In spite of the added processing, triple-correlating the output of a spectrometer allowed us to generally increase the SNR by over a factor of ten. We were able to discriminate between two gases at low SNR values with the triple correlation technique.
We showed that the output of an autocorrelation with a gas spectrum could be triple-correlated to reduce the effects of Gaussian noise. Such processing is directly applicable to a correlation spectrometer but could be applied to other designs. In spite of the added processing, triple- correlating the output of a spectrometer allowed us to generally increase the SNR by over a factor of ten. Even with as few as two measurements good results were obtained.
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