US Army looking into software upgrades for battle intelligence array
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עברית (Hebrew)
US Army Central Intelligence is examining a software capable of assisting the Army in sifting through terra-bytes of intelligence data gathered from both manned and unmanned sources, as well as improving the Army’s ability to analyze the data more efficiently.
As part of the ongoing testing and assessment process, consisting of several phases of technological reviews, feasibility trials and operational user-tests, the US Army has been cooperating with Lockheed Martin in updating the company’s DCGS-A, ahead field deployment in 2015. This is a series of systems which enable military analysts of all units to access shared intelligence. The DCGS-A software gathers sensor-derived data from all possible sources (SIGINT, VISISNT, HUMINT, etc.) and integrates it to one common data pattern in a post data cohesion environment, thereby allowing for analysis of the data coming in from multiple sources.
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“The sheer volume of the data that flows through the DCGS-A array from Unmanned Aerial Systems (UASs) and satellites, through ground sensors to biometric sensors is simply staggering,” says Dr. Rob Smith, Vice President for C4ISR at Lockheed Martin. “We have been working with the US Army in order to update the software’s capabilities and make it easier for the analysts to pass the intelligence data on to those who require it the most.”
Lockheed Martin is innovative in the way data flows and is accessed through the DCGS-A array. This is achieved through a number of projects focusing on reciprocal activity, automation and efficient analysis. The two new, software features are as follows:
- AMES – integrates and fuses similar real-world intelligence data, thereby saving considerable time for analysts, who must deal with thousands of entities, which alternatively, would have to be examined manually one by one. Automation of the merge process allows analysts to allocate more time to analyzing the integrated results, which support improved understanding of the shared operational status.
- DataMover: as DCGS-A is deployed worldwide, at times in the form of different software versions, the need often arises to unify the data received from different formats, so that it may be shared. DataMover converts the data and allows transmitting the data across the entire DCGS-A array.
