Defense Advanced Research Projects AgencyTagged Content List

Communications and Networks

All manner of sending, receiving, connecting and protecting information

Showing 47 results for Communications + Spectrum RSS
Current military communication systems have limited ability to support mobile, distributed operations in remote geographic areas due to the small size of networks and relatively short range of military radios. Today, military mobile ad hoc networks (MANETs) are used to relay communications services beyond the range of a single radio.
Military satellites are critical sources of communications and data for today’s operations environments. Through DARPA’s Phoenix program, useable antennas or solar arrays from retired satellites in geosynchronous orbit (GEO – 36,000 kilometers above earth) could be removed and potentially repurposed as components for new satellites to provide vital mission support.
Modern networks and platforms rely on access to the radio frequency (RF) spectrum for communications, radar sensing, command and control, time transfer, and geo-location. Electromagnetic interference, due to congestion in the spectrum or malicious jamming, can have catastrophic effects. Countering such interference is particularly important for unmanned platforms. To address this challenge, the Hyper-wideband Enabled RF Messaging (HERMES) program seeks to provide an assured link for essential communications by developing a jammer- countering capability that is orders of magnitude beyond the state-of-the-art.
There is increasing interest in making broader use of the millimeter wave frequency band for communications on small mobile platforms where narrow antenna beams from small radiating apertures provide enhanced communication security. Today’s millimeter wave systems, however, are not user friendly and are designed to be platform specific, lacking interoperability and are thus reserved for only the most complex platforms.
The goal of the Radio Frequency Machine Learning Systems (RFMLS) Program is to develop the foundations for applying modern data-driven Machine Learning (ML) to the RF Spectrum domain. These innovations form the basis of a new wave of Signal Processing technologies to address performance limitations of conventionally designed radio frequency (RF) systems such as radar, signals intelligence, electronic warfare, and communications.