The National Institute of Standards and Technology found that artificial intelligence-based tools could help commercial wireless providers and the U.S. Navy better manage radio frequency spectrum for communications. In a new paper issued Wednesday, NIST said demonstrations show that deep learning algorithms are working better than traditional tools to detect whether radars are operating or not, which allows commercial providers to better plan the allocation of 3.5 Gigahertz Band.
The Navy relies on automated detectors to detect radar signals from ships at sea. However, NIST said the technology lacks consistency and accuracy. For the demonstrations, NIST researchers explored the use of deep learning to improve communications. The team found that AI technology can be trained to recognize offshore radar signals. The technology also outperformed traditional detectors during tests. The researchers plan to continue training AI detectors with higher-resolution, more-detailed radar data.
