Researchers have developed a new radar signal–processing technology that can dramatically enhance the resolution of existing low-resolution radars. This technology enables precise object recognition using existing hardware specifications without the need for bandwidth expansion.
Currently, radar systems for automotive and aerospace applications require resolution-enhancement technologies to improve object recognition precision. Achieving this typically involves increasing bandwidth or utilizing ultra-high-resolution algorithms with significant complexity. However, it results in higher costs and increased system complexity.
The research team discovered that additional information embedded in the envelope of radar signals could be used. On that basis, they developed a new algorithm that analyzes the contour features of received signals.
This innovative technology improves target differentiation without bandwidth expansion, achieving nearly double the resolution through signal processing on existing radar hardware. In addition, it enables the precise identification of objects both inside and outside the vehicle.
Dr. Bongseok Kim of the DGIST Automotive Technology Division stated, “I am delighted that our work has been published in the IEEE Sensors Journal. We will continue to enhance this technology through follow-up research to enable its practical application in autonomous vehicles and industrial environments.”
More information:
Bong-seok Kim et al. Resolution Improvement Algorithm with Two Targets Using Envelope of the Beat Signals for FMCW Radars, IEEE Sensors Journal (2024). DOI: 10.1109/JSEN.2024.3505845
Daegu Gyeongbuk Institute of Science and Technology
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New technology doubles radar resolution using novel algorithms (2024, December 30)
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