Coordinated sensor cueing for chemical plume detection

Nathan J. Abraham; Andrea M. Jensenius; Adam S. Watkins; R. Chad Hawthorne; Brian J. Stepnitz

doi:10.1117/12.887067

3 June 2011 Coordinated sensor cueing for chemical plume detection

Nathan J. Abraham, Andrea M. Jensenius, Adam S. Watkins, R. Chad Hawthorne, Brian J. Stepnitz

Proceedings Volume 8018, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XII; 80180Y (2011) https://doi.org/10.1117/12.887067
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

This paper describes an organic data fusion and sensor cueing approach for Chemical, Biological, Radiological, and Nuclear (CBRN) sensors. The Joint Warning and Reporting Network (JWARN) uses a hardware component referred to as the JWARN Component Interface Device (JCID). The Edgewood Chemical and Biological Center has developed a small footprint and open architecture solution for the JCID capability called JCID-on-a-Chip (JoaC). The JoaC program aims to reduce the cost and complexity of the JCID by shrinking the necessary functionality down to a small single board computer. This effort focused on development of a fusion and cueing algorithm organic to the JoaC hardware. By embedding this capability in the JoaC, sensors have the ability to receive and process cues from other sensors without the use of a complex and costly centralized infrastructure. Additionally, the JoaC software is hardware agnostic, as evidenced by its drop-in inclusion in two different system-on-a-chip platforms including Windows CE and LINUX environments. In this effort, a partnership between JPM-CA, JHU/APL, and the Edgewood Chemical and Biological Center (ECBC), the authors implemented and demonstrated a new algorithm for cooperative detection and localization of a chemical agent plume. This experiment used a pair of mobile Joint Services Lightweight Standoff Chemical Agent Detector (JSLSCAD) units which were controlled by fusion and cueing algorithms hosted on a JoaC. The algorithms embedded in the JoaC enabled the two sensor systems to perform cross cueing and cooperatively form a higher fidelity estimate of chemical releases by combining sensor readings. Additionally, each JSLSCAD had the ability to focus its search on smaller regions than those required by a single sensor system by using the cross cue information from the other sensor.

Citation Download Citation

Nathan J. Abraham, Andrea M. Jensenius, Adam S. Watkins, R. Chad Hawthorne, and Brian J. Stepnitz "Coordinated sensor cueing for chemical plume detection", Proc. SPIE 8018, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XII, 80180Y (3 June 2011); https://doi.org/10.1117/12.887067

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KEYWORDS

Sensors

Detection and tracking algorithms

Computer simulations

Telecommunications

Algorithm development

Data fusion

Standoff detection

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