the time for alerts to significant events. Te analytics also need to be scalable and extensible so that the user can execute them wherever it makes sense across the tactical space. For example, an ana- lytic can run on a multisensor platform, ground station or sanctuary, depending on the mission’s concept of operations and communications links.
COLLABORATION AND VISUALIZATION As the Army moves more toward central- ized PED sites, collaboration is going to be all the more important. Te Army has been realigning how it organizes and employs its human analysts as part of the PED process. One idea is setting up centralized sites outside of conflict zones where specialized Soldiers can focus on exploiting sensor data and feeding situa- tional awareness back to theater. However, bandwidth constraints will limit scalabil- ity of this solution. Additionally, analysts who are not on the ground lack the mis- sion context to fully exploit the data.
Reliance on the current system of
countless chat windows to collaborate is inefficient and not scalable. Tere- fore, the Army requires a solution that allows for PED operations to move seam- lessly between tactical and remote PED analysts.
Usability and software interface design are critical for handling, filtering and understanding the data and analytics, as well as providing an environment for analysis and user collaboration. Develop- ment and integration of techniques for big data visualization, collaboration and workflow management are essential for common understanding. Tese tools will enable management of tasks across eche- lons, provide mission context to facilitate situational understanding cognitive burden on analysts.
and reduce
Te ExPED program is developing a sen- sor COP to support all parts of the PED process, from tasking sensors to exploit- ing data to use of the intelligence. Tis includes developing an interface that is tailorable to all users in the PED process, including mission managers, exploitation analysts and analysts at every echelon. Te ExPED sensor COP is a shared col- laborative environment where all parties can interact and conduct their respective tasks and workflows—in real time, if communications allow.
Te ExPED sensor COP is extensible, allowing applications to be built into it. Tis will allow data to move from one phase to the next with collabora- tion along the way, and will task and automate processes effectively to reduce analyst workload.
CONCLUSION Current Army PED operations are not extracting the maximum amount of intelligence from existing sensors. Te Army can get additional value by better leveraging the opportunity for multi-INT processing and exploitation, cross-cueing between sensors, forensic analysis and increased awareness and use of available resources.
Te S&T community has the opportu- nity and imperative to work outside the narrow bounds of acquisition programs of record in order to design and dem- onstrate standards-based interoperable systems. By implementing a common framework of interoperable PED com- ponents, such as those being developed and demonstrated under the ExPED STO, Army PED operations will realize improvements in efficiency and capabil- ity such as:
• Moving processing closer to sensors to improve the timeliness of actionable
intelligence and reduce the bandwidth necessary to transmit raw data.
• Automated or semiautomated cross- cueing of sensors for faster target acquisition and tracking.
• Use of advanced analytics to increase the speed and effectiveness of extract- ing intelligence from high-volume and high-speed sensor feeds.
• Better leveraging of distributed sen- sors, processing systems and analysts to execute ISR missions.
Commanders rely on situational under- standing to make timely decisions, but more data does not equal situational understanding. Understanding will be accomplished only by providing analysts with the tools to process, exploit and dis- seminate the extensive amount of sensor data collected across the battlefield.
For more information or to contact the authors, go to
www.cerdec.army.mil.
MR. MICHAEL PELLICANO is a lead engineer in the CERDEC Intelligence Systems and Processing Division. He holds an M.S. in electrical engineering from Stevens University, and an M.S. in business administration and a B.S. in electrical engineering from Penn State University. He is Level III certified in engineering and is a member of the Army Acquisition Corps (AAC).
MS. DANIELLE DUFF is a senior engi- neer who oversees the research portfolio for CERDEC’s
Warfare Directorate,
Intelligence and Information Intelligence Systems
and Processing Division. She holds a master of electrical engineering from the University of Delaware and a B.S. in electrical engi- neering from Virginia Tech. She is Level III certified in engineering and in test and evaluation, and is a member of the AAC.
ASC.ARMY.MIL
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SCIENCE & TECHNOLOGY / DASA(R&T)
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