Share Email Print
cover

Proceedings Paper

System performance and modeling of a bioaerosol detection lidar sensor utilizing polarization diversity
Author(s): John J. Glennon; Terry Nichols; Phillip Gatt; Tahllee Baynard; John H. Marquardt; Richard G. Vanderbeek
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The weaponization and dissemination of biological warfare agents (BWA) constitute a high threat to civilians and military personnel. An aerosol release, disseminated from a single point, can directly affect large areas and many people in a short time. Because of this threat real-time standoff detection of BWAs is a key requirement for national and military security. BWAs are a general class of material that can refer to spores, bacteria, toxins, or viruses. These bioaerosols have a tremendous size, shape, and chemical diversity that, at present, are not well characterized [1]. Lockheed Martin Coherent Technologies (LMCT) has developed a standoff lidar sensor with high sensitivity and robust discrimination capabilities with a size and ruggedness that is appropriate for military use. This technology utilizes multiwavelength backscatter polarization diversity to discriminate between biological threats and naturally occurring interferents such as dust, smoke, and pollen. The optical design and hardware selection of the system has been driven by performance modeling leading to an understanding of measured system sensitivity. Here we briefly discuss the challenges of standoff bioaerosol discrimination and the approach used by LMCT to overcome these challenges. We review the radiometric calculations involved in modeling direct-detection of a distributed aerosol target and methods for accurately estimating wavelength dependent plume backscatter coefficients. Key model parameters and their validation are discussed and outlined. Metrics for sensor sensitivity are defined, modeled, and compared directly to data taken at Dugway Proving Ground, UT in 2008. Sensor sensitivity is modeled to predict performance changes between day and night operation and in various challenging environmental conditions.

Paper Details

Date Published: 9 May 2009
PDF: 12 pages
Proc. SPIE 7323, Laser Radar Technology and Applications XIV, 73230T (9 May 2009); doi: 10.1117/12.822218
Show Author Affiliations
John J. Glennon, Lockheed Martin Coherent Technologies (United States)
Terry Nichols, Lockheed Martin Coherent Technologies (United States)
Phillip Gatt, Lockheed Martin Coherent Technologies (United States)
Tahllee Baynard, Lockheed Martin Coherent Technologies (United States)
John H. Marquardt, Lockheed Martin Coherent Technologies (United States)
Richard G. Vanderbeek, U.S. Army Edgewood Chemical and Biological Ctr. (United States)


Published in SPIE Proceedings Vol. 7323:
Laser Radar Technology and Applications XIV
Monte D. Turner; Gary W. Kamerman, Editor(s)

© SPIE. Terms of Use
Back to Top