The use of unmanned systems in defense is increasing: With the intricacy and operational complexity of unmanned aerial vehicles (UAVs) growing even as footprints shrink, support and sustainment for these assets are becoming high priorities.

In December 2022, as U.S. Naval Forces Central Command (NAVCENT) wrapped up its three-week Digital Horizon training exercise to advance the use of unmanned technologies, the U.S. Navy marked the success of both a high-profile “hero” (artificial intelligence/AI) as well as a self-effacing, yet no less valuable “secret weapon” – data.

Walk around any defense-industry trade show floor in the last several years, or talk to defense-industry company officials, and one of the most pressing topics is the “gray-hair” issue. Even though new crops of engineers certainly enter the profession every year, statistics do bear out the anecdotal evidence of the aging of the defense-industry workforce.

The ongoing need for reduced size, weight, and power (SWaP) is driving the development of secure specialized line-of-sight (LOS) radios used on the battlefield. These radios demand increased functionality in smaller packages, even in single-board solutions, used in body-worn equipment, on-field IoT sensors, or wireless sensors on unmanned aerial or ground vehicles.

A "decade of consequence" is on the horizon due to growing competition from countries like China and Russia, and U.S. Special Operations Command (USSOCOM) must be ready to respond, said USSOCOM Commander Gen. Fenton in his keynote address at the SOF Week 2023 annual conference today.

From data collection to tactical-level edge processing, artificial intelligence (AI) solutions were proliferated on the 2023 SOF Week exhibition floor here throughout the week, with numerous companies highlighting how AI can be used at a practical level to assist the military.

Multichannel systems and compares it with measurements on a 16-channel S-band demonstrator. This analytic approach is based on a small set of measurements that can be used to estimate correlated vs. uncorrelated noise contributions. Based on only a few measurements, phase noise under a wide range of conditions can be predicted.

Predictive maintenance radar sensing is a key aspect of Industry 4.0, the fourth industrial revolution characterized by the integration of advanced technologies such as the Internet of Things (IoT), big data analytics, and artificial intelligence (AI). Predictive maintenance radar sensing, in combination with these other technologies, enables companies to move from a reactive to a proactive maintenance strategy, improving reliability and reducing downtime.