Published
Support Vector Machines for Classification of Automotive Radar Interference
R. Zhang, S. Cao
IEEE Radar Conference, 2018 , pp. 366-371
Abstract
Studies classification of automotive radar interference waveforms via support vector machine (SVM). Addresses the challenge of radar-to-radar interference that is inevitable as the number of automotive radars increases in advanced driver assistance systems (ADAS) for road traffic safety.
Citation
R. Zhang, S. Cao. "Support Vector Machines for Classification of Automotive Radar Interference." IEEE Radar Conference: 366-371, 2018. DOI: 10.1109/RADAR.2018.8378586
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Details
- Year
- 2018
- Published In
- IEEE Radar Conference
- Pages
- 366-371
- DOI
- 10.1109/RADAR.2018.8378586