TY  - JOUR
T1  - Real-time Nonlinear Jamming Signal Interference Cancellation in Full-Duplex Systems through Outlier and Feature Extraction
AU  - Lee, Hyeon Hwi 
AU  - Cho, Sang Wang 
AU  - kim, Sung Min 
AU  - Kim, Bit Chan 
AU  - Kim, Dong Ku 
AU  - Chae, Chan-Byoung 
JO  - The Journal of Korean Institute of Communications and Information Sciences
PY  - 2025
DA  - 2025/1/1
DO  - 10.7840/kics.2025.50.3.456
KW  - Jamming Interference Cancellation
AB  - This study proposes a method to address the need for real-time learning due to the high power of jamming signals and environmental variability, where traditional neural networks are unsuitable because of their long training and inference times, and SVR lacks sufficient interference cancellation performance relative to its complexity. To address these issues, this study extracts key features using F-Regression, removes outliers with Isolation Forest, and employs NuSVR to achieve real-time interference cancellation.