BAE Systems to create new technology to detect WMD activity

13 February 2020 (Last Updated February 13th, 2020 12:42)

The BAE Systems FAST Labs research and development team is set to partner with Barnstorm Research and Washington State University to create a new technology called Multi-info Alerting of Threat CBRNE Hypotheses (MATCH) to detect and deter weapons of mass destruction (WMD) activity.

BAE Systems to create new technology to detect WMD activity
BAE Systems will develop advanced analytics technology to assist in the detection of mass destruction activity. Credit: BAE Systems.

The BAE Systems FAST Labs research and development team is set to partner with Barnstorm Research and Washington State University to create a new technology called Multi-info Alerting of Threat CBRNE Hypotheses (MATCH) to detect and deter weapons of mass destruction (WMD) activity.

BAE Systems has received funding from the US Defense Advanced Research Projects Agency’s (DARPA) Defense Sciences Office to develop the new analytics technology.

The technology will also be capable of identifying indications of chemical, biological, radiological, nuclear and explosive (CBRNE) threats by leveraging multiple data sources.

Additionally, it will use data fusion, adversary modelling, pattern matching and machine learning techniques.

As part of DARPA’s SIGMA+ programme, the partners will create the MATCH advanced technology solution that will automatically populate a world graph using sensor and multi-source data to enable analysts to detect threat activities in a metropolitan region.

MATCH will use the graph to create hypotheses that identify and characterise threatening CBRNE activity.

BAE Systems Autonomy, Controls, and Estimation group product line director Chris Eisenbies said: “Our technology aims to help analysts close the loop between the analysis of information and the collection of new information to fill in the gaps and provide a comprehensive picture of a potential threat.

“Most importantly, our solution automates a process that is currently manually intensive, improving an analyst’s ability to quickly and accurately identify CBRNE activity and ultimately, helping to protect our country from these significant dangers.”

Under Phase I research on the SIGMA+ programme, BAE Systems’ expertise will be used in data fusion, advanced analytics and resource management as part of its autonomy technology portfolio.

This phase also leverages the company’s mature All-Source Track and Identity Fuser (ATIF) and Multi-INT Analytics for Pattern Learning and Exploitation (MAPLE) technologies.

BAE Systems will complete work for the programme at its US facilities located in Burlington, Massachusetts, and Arlington, Virginia.