Jan 11, 2016

DARPA Advance Breaks New Ground for Operating In Congested Electromagnetic Spectrum

Posted by in categories: computing, military

Competition for scarce electromagnetic (EM) spectrum is increasing, driven by a growing military and civilian demand for connected devices. As the spectrum becomes more congested, the Department of Defense (DoD) will need better tools for managing the EM environment and for avoiding interference from competing signals. One recent DARPA-funded advance, an exceptionally high-speed analog-to-digital converter (ADC), represents a major step forward. The ADC could help ensure the uninterrupted operation of spectrum-dependent military capabilities, including communications and radar, in contested EM environments. The advance was enabled by 32 nm silicon-on-insulator (SOI) semiconductor technologies available through DARPA’s ongoing partnership with GlobalFoundries, a manufacturer of highly-advanced semiconductor chips.

The EM spectrum, whose component energy waves include trillionth-of-a-meter-wavelength gamma rays to multi-kilometer-wavelength radio waves, is an inherently physical phenomenon. ADCs convert physical data—that is, analog data—on the spectrum into numbers that a digital computer can analyze and manipulate, an important capability for understanding and adapting to dynamic EM environments.

Today’s ADCs, however, only process data within a limited portion of the spectrum at a given time. As a result, they can temporarily overlook critical information about radar, jamming, communications, and other potentially problematic EM signals. DARPA’s Arrays at Commercial Timescales (ACT) program addressed this challenge by supporting the development of an ADC with a processing speed nearly ten times that of commercially available, state-of-the-art alternatives. By leveraging this increased speed, the resulting ADC can analyze data from across a much wider spectrum range, allowing DoD systems to better operate in congested spectrum bands and to more rapidly react to spectrum-based threats.

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