US army approaches industry for surveillance, unmanned, and machine autonomy technologies for special forces

U.S. Army researchers are asking industry to develop enabling technologies for battlefield situational awareness, reconnaissance and surveillance, and location technologies of potential benefit to special forces warfighters.

Officials of the Army Contracting Command at Fort Detrick, Md., issued a sources-sought notice on Monday (W911SR-22-S-NGIA) for the Next Generation Identification and Awareness Initiative (NGIA).

This is for companies interested in participating in projects sought by the United States Special Operations Command (USSOCOM) at MacDill Air Force Base, Fla., to develop state-of-the-art technologies in tagging, tracking, and locating; reconnaissance and surveillance; and unmanned systems. The NGIA seeks to develop special operations prototypes for demonstration and evaluation.

Tagging, tracking and locating involves ways to gain knowledge of when, where, and what the enemy is doing for mission planning in attacking high-value enemy warfighters and targets.
Solutions should provide over-the-horizon and line-of-sight day and night target tracking for long periods using ground-based, airborne, or satellite sensors. Of special interest are low-probability-of-intercept and -detection communications, new ways of removing soldiers from the battlefield, and new ways to survive austere high-conflict environments.

Reconnaissance and surveillance involves new ways to gain intelligence in areas where the terrain, weather, political sensitivities, and hostile forces make intelligence gathering difficult. This will involve new kinds of unattended ground sensors with machine vision and object recognition to gather audio and video. These sensors should be able to evade enemy countermeasures.

Unmanned systems involve sensors on the ground and aboard small uncrewed aerial vehicles (UAVs) that weigh no more than 55 pounds. These sensors must be able to foil enemy attempts to eavesdrop on or jam their RF signals. Machine autonomy capabilities on these small UAVs should help reduce operator workload, and help these UAVs evade enemy attempts to jam, capture, or destroy them.

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