1 code implementation • 18 Mar 2024 • Yezhuo Zhang, Zinan Zhou, Xuanpeng Li
In the domain of Specific Emitter Identification (SEI), it is recognized that transmitters can be distinguished through the impairments of their radio frequency front-end, commonly referred to as Radio Frequency Fingerprint (RFF) features.
no code implementations • 11 Jul 2023 • Shengyi Li, Qifan Xue, Yezhuo Zhang, Xuanpeng Li
To leverage causal features for prediction, we propose a Causal Inspired Learning Framework (CILF), which includes three steps: 1) extracting domain-invariant causal feature by means of an invariance loss, 2) extracting domain variant feature by domain contrastive learning, and 3) separating domain-variant causal and non-causal feature by encouraging causal sufficiency.