A research team has developed a low-complexity radar system that can both detect objects and exchange data during high-speed driving.
A research team led by Bongseok Kim from the Future Mobility Research Division at DGIST has developed a low-complexity receiver technology that enables automotive radar to simultaneously detect objects and exchange data. This advancement is part of Integrated Sensing and Communication (ISAC) technology, which is critical for autonomous vehicles and connected cars.
Traditional systems require multiple signal processing units, increasing complexity and computational load. The team used the Fractional Fourier Transform (FRFT) to analyze complex signals, allowing more efficient data extraction with a single receiver. This approach reduces processing burden and improves performance.
Experiments simulating a 77 GHz radar environment at 240 km/h showed the technology outperformed conventional methods. It achieved less than 1 meter range error and near 100% target detection under challenging conditions. The system can be implemented without major hardware changes, making it suitable for autonomous vehicles, drones, and other applications.
This development advances ISAC technology by simplifying radar systems and improving performance in high-speed environments. It supports the growing need for reliable, efficient communication and sensing in autonomous and connected vehicles, aligning with broader trends in intelligent transportation and 6G-ready hardware.
Edited by the news editor with AI from the original report — please refer to the original source.