ATDI continues to push the boundaries of spectrum management and monitoring with the development of an AI-powered radio signal identification model. This model represents a major step forward in automating spectrum analysis and delivering real-time insights without requiring human expertise.
With an accuracy rate of 99%, the model reliably predicts radio signals, recognising over 20 types, including 4G LTE, 5G, ACARS, VOR, and radar altimeters. Seamlessly integrating with HTZ and ICS Monitoring SDRN Control, this AI feature enhances spectrum monitoring, interference detection, and anomaly identification. One key advantage is its ability to be fine-tuned with user-specific datasets without the need to disclose sensitive information, ensuring a secure and adaptable solution for both regulatory bodies and military organisations.
To support the AI research community and industry professionals, ATDI has made a limited version of this model available on Hugging Face, an open-source hub for AI development. This allows researchers, developers, and spectrum professionals to test, validate, and explore its capabilities, further advancing innovation in radio signal recognition. By showcasing its robustness in an open environment, ATDI reinforces its leadership in AI-driven spectrum solutions while inviting collaboration on future enhancements.
ATDI’s investment in AI is transforming spectrum engineering, enabling faster, more accurate, and autonomous decision-making. As radio networks grow in complexity, AI-driven solutions ensure greater efficiency, precision, and adaptability. By integrating AI into HTZ, ATDI remains at the forefront of innovation, helping customers navigate the evolving demands of spectrum management with confidence.
Would you like to see how AI can enhance your spectrum operations? Get in touch to learn more.
