AMSCN: A Novel Dual-Task Model for Automatic Modulation Classification and Specific Emitter Identification [PDF]
Sensors, 2023 Specific emitter identification (SEI) and automatic modulation classification (AMC) are generally two separate tasks in the field of radio monitoring.
Shanchuan Ying +4 more
doaj +4 more sources
A Specific Emitter Identification System Design for Crossing Signal Modes in the Air Traffic Control Radar Beacon System and Wireless Devices [PDF]
Sensors, 2023 To improve communication stability, more wireless devices transmit multi-modal signals while operating. The term ‘modal’ refers to signal waveforms or signal types. This poses challenges to traditional specific emitter identification (SEI) systems, e.g.,
Miyi Zeng +4 more
doaj +2 more sources
A Method for Specific Emitter Identification Based on Polarimetric Domain Feature Learning and Extraction [PDF]
SensorsSpecific Emitter Identification (SEI) distinguishes individual emitters by extracting subtle features from intercepted radio frequency signals. This process relies on the design and extraction of specific features.
Zixuan Zhang +4 more
doaj +2 more sources
Specific Emitter Identification Based on Ensemble Neural Network and Signal Graph
Applied Sciences, 2022 Specific emitter identification (SEI) is a technology for extracting fingerprint features from a signal and identifying the emitter. In this paper, the author proposes an SEI method based on ensemble neural networks (ENN) and signal graphs, with the ...
Chenjie Xing +4 more
doaj +3 more sources
Specific emitter identification based on multiple sequence feature learning. [PDF]
PLoS ONEThe specific emitter identification is widely used in electronic countermeasures, spectrum control, wireless network security and other civil and military fields.
Dong Yi +4 more
doaj +2 more sources
Evaluation of Confusion Behaviors in SEI Models [PDF]
SensorsRadio Frequency Machine Learning (RFML) has in recent years become a popular method for performing a variety of classification tasks on received signals.
Brennan Olds +2 more
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SAS-SEINet: A SNR-Aware Adaptive Scalable SEI Neural Network Accelerator Using Algorithm–Hardware Co-Design for High-Accuracy and Power-Efficient UAV Surveillance [PDF]
Sensors, 2022 As a potential air control measure, RF-based surveillance is one of the most commonly used unmanned aerial vehicles (UAV) surveillance methods that exploits specific emitter identification (SEI) technology to identify captured RF signal from ground ...
Jiayan Gan +8 more
doaj +2 more sources
Specific Emitter Identification Method for Limited Samples via Time–Wavelet Spectrum Consistency [PDF]
SensorsSpecific emitter identification (SEI) is a technique that identifies the emitter through physical layer features contained in radio signals, and it is widely used in tasks such as identifying illegal transmitters and authentication.
Chunyang Tang +3 more
doaj +2 more sources
An Adaptive Deep Ensemble Learning for Specific Emitter Identification [PDF]
SensorsSpecific emitter identification (SEI), which classifies radio transmitters by extracting hardware-intrinsic radio frequency fingerprints (RFFs), faces critical challenges in noise robustness, generalization under limited training data and class imbalance.
Peng Shang +5 more
doaj +2 more sources
A Self-Supervised Specific Emitter Identification Method Based on Contrastive Asymmetric Masked Learning [PDF]
SensorsSpecific emitter identification (SEI) is a core technology for wireless device security that plays a crucial role in protecting wireless communication systems from various security threats. However, current deep learning-based SEI methods heavily rely on
Dong Wang +3 more
doaj +2 more sources