An Adaptive Deep Ensemble Learning for Specific Emitter Identification [PDF]
Specific 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 +5 more sources
A Time-Space Domain Information Fusion Method for Specific Emitter Identification Based on Dempster–Shafer Evidence Theory [PDF]
Specific emitter identification plays an important role in contemporary military affairs. However, most of the existing specific emitter identification methods haven’t taken into account the processing of uncertain information.
Wen Jiang +3 more
doaj +4 more sources
Specific Emitter Identification Techniques for the Internet of Things [PDF]
Specific Emitter Identification (SEI) detects the individual emitter according its varied signal characteristics. The method operates in the physical layer of the internet and can effectively improve the security of the Internet of Things (IoT ...
Kejin Sa +3 more
doaj +2 more sources
A Complex-Valued Self-Supervised Learning-Based Method for Specific Emitter Identification [PDF]
Specific emitter identification (SEI) refers to distinguishing emitters using individual features extracted from wireless signals. The current SEI methods have proven to be accurate in tackling large labeled data sets at a high signal-to-noise ratio (SNR)
Dongxing Zhao +3 more
doaj +2 more sources
Specific Emitter Identification Based on Differential Constellation
The modulator distortion feature of the existing specific emitter identification (SEI) based on constellation contains the inherent carrier frequency offset of the receiver and transmitter, and the influence of the frequency offset on the feature ...
Guanjie Zhang, Yanbin Li
doaj +2 more sources
Specific Emitter Identification Based on the Natural Measure [PDF]
Specific emitter identification (SEI) techniques are often used in civilian and military spectrum-management operations, and they are also applied to support the security and authentication of wireless communication.
Yongqiang Jia, Shengli Zhu, Lu Gan
doaj +2 more sources
A Real-World Dataset Generator for Specific Emitter Identification
Generating high-quality, real-world, well-labeled datasets for radio frequency machine learning (RFML) applications often proves prohibitively cumbersome and expensive, leading to the low availability of high-fidelity, low-cost datasets. Specific emitter
Braeden P. Muller +3 more
doaj +2 more sources
Specific emitter identification based on multiple sequence feature learning. [PDF]
The 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 +4 more sources
A Knowledge Graph-Driven CNN for Radar Emitter Identification
In recent years, the rapid development of deep learning technology has brought new opportunities for specific emitter identification and has greatly improved the performance of radar emitter identification.
Yingchao Chen +5 more
doaj +3 more sources
Multi-Classifier Fusion for Open-Set Specific Emitter Identification
To safeguard the privacy and security of IoT systems, specific emitter identification is utilized to recognize device identity with hardware characteristics.
Yurui Zhao +3 more
doaj +3 more sources

