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AI/ML Software Enhances Real-Time RF Situational Awareness

Oct. 2, 2024
AI/ML-based signal detection and classification is emerging as a critical tool in gaining quick awareness of RF spectrum activity in real-time.
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TechXchange: 5G Test & Measurement

The successful proliferation of 5G technology depends on many things, but none more so than test technologies and methodologies.

Spectrum awareness is a watchword in these times of crowded airwaves, especially for 5G mobile network operators. Managing coexistence in the Citizens Broadband Radio Service (CBRS) band in the U.S. means increased vigilance through continuous spectrum monitoring as well as coordination between 4G/LTE and 5G New Radio (NR) cellular and military radar operators in shared bands.

In its OmniSIG software, DeepSig brings machine learning to bear on the growing requirements for RF situational awareness. The software takes input from any radio and performs real-time detection and classification of signals. Working from raw IQ data, the software’s neural network scans for signals, known and unknown, and labels them for operators’ informational purposes.

DeepSig’s tools can also perform some post-acquisition analysis of signals. The software detects and classifies signals in less than 10 ms. It also takes a wideband look at the spectrum, further ensuring that it will grab whatever is out there.

In the accompanying video, DeepSig’s director of operations, John Ryder, provides a demo of OmniSIG using a Tektronix real-time spectrum analyzer to feed RF input to the tool. Watch to see how the software quickly identifies and labels signals across the band.

Another benefit of OmniSIG is the ability to update the tool’s machine learning with real-world data. New signal-detection models can be developed in less than 24 hours, with either a signal-recording feature or by feeding pre-recorded RF signals to the tool. Such signals are labeled by operators, but the software learns that signal’s features for future recognition.

Learn more about spectrum observation:

About the Author

David Maliniak | Executive Editor, Microwaves & RF

I am Executive Editor of Microwaves & RF, an all-digital publication that broadly covers all aspects of wireless communications. More particularly, we're keeping a close eye on technologies in the consumer-oriented 5G, 6G, IoT, M2M, and V2X markets, in which much of the wireless market's growth will occur in this decade and beyond. I work with a great team of editors to provide engineers, developers, and technical managers with interesting and useful articles and videos on a regular basis. Check out our free newsletters to see the latest content.

You can send press releases for new products for possible coverage on the website. I am also interested in receiving contributed articles for publishing on our website. Use our contributor's packet, in which you'll find an article template and lots more useful information on how to properly prepare content for us, and send to me along with a signed release form. 

About me:

In his long career in the B2B electronics-industry media, David Maliniak has held editorial roles as both generalist and specialist. As Components Editor and, later, as Editor in Chief of EE Product News, David gained breadth of experience in covering the industry at large. In serving as EDA/Test and Measurement Technology Editor at Electronic Design, he developed deep insight into those complex areas of technology. Most recently, David worked in technical marketing communications at Teledyne LeCroy, leaving to rejoin the EOEM B2B publishing world in January 2020. David earned a B.A. in journalism at New York University.

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