Locating Dismounted Soldiers in GPS-Denied Environments

Locating Dismounted Soldiers in GPS-Denied Environments

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U.S. Army Sgt. 1st Class Joel Sobrado, 3d Infantry Division fire support NCO, calls out GPS coordinates to 3-27th Field Artillery Regiment soldiers during Exercise DRAGON STRIKE June 9, 2015, at Avon Park Air Force Range, Fla. Sobrado and 18th Air Support Operations Group joint terminal attack controllers coordinated with the soldiers on launch locations for M142 High Mobility Artillery Rocket System rockets. (U.S. Air Force photo by Airman 1st Class Dillian Bamman/Released)

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Navigating and finding the location of objects via GPS technology have become a routine in civilian and military functioning. Soldiers are deployed in all types of environments, both urban and remote, and it’s essential that these soldiers be able to navigate and locate each other. Some military equipment relies on GPS location technology, but a GPS signal is not always available. This capability is especially critical to help find dismounted soldiers and for humans and robotic agents to team together effectively.

Researchers at the U.S. Army Research Laboratory recently developed a novel algorithm that can locate both humans and robots in areas without GPS. According to the ARL researchers Gunjan Verma and Fikadu Dagefu, current technologies are not suitable. “For example, an adversary may destroy the infrastructure (e.g., satellites) needed for GPS; alternatively, complex environments (e.g., inside a building) are hard for the GPS signal to penetrate,” Dagefu said. “This is because complex and cluttered environments impede the straight-line propagation of wireless signals.” Wireless signals become very unreliable for communicating information about location as result of large obstacles, according to engineering.com.

The researchers have developed a novel technique for determining the direction of arrival, or DoA, of a radio frequency signal source, which is a fundamental enabler of localization.

The underlying idea is that the gradient of the spatially sampled received signal strength, or RSS, carries information about the source direction.

The key invention according to the researchers is an algorithm that statistically models the RSS gradient and controls for spatial outliers and correlations.