Kademeli öğrenme ve sembolik gösterimler ile radar kimliklendirme.
Radar receivers collect mixed signals from all electromagnetic sources in the environment. The ultimate goal of electronic intelligence is to find the types of these sources with the help of a priori information, known as emitter identification.
Aybüke Erol
core +1 more source
The Intelligent Evolution of Radar Signal Deinterleaving: A Systematic Review from Foundational Algorithms to Cognitive AI Frontiers. [PDF]
Qu Z, Zhang J, Zhou Y, Ni L.
europepmc +1 more source
Semi-Supervised Radar Work Mode Recognition Based on Contrastive Learning. [PDF]
Sun P, Du M, Li Z, Chen X, Shi J.
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During the last years we have observed fast development of the electronic devices and electronic warfare systems (EW). One of the most principal functions of the ESM/ELINT system is gathering basic information from the entire electromagnetic spectrum and
Matuszewski, Jan +2 more
core
Specific emitter identification is a challenge in the field of radar signal processing. Its aims to extract individual fingerprint features of the signal. However, early works are all designed using either signal or time–frequency image and heavily
Yuxuan He +4 more
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Cooperative Tracking of Vessel Trajectory by Multi-Static Passive Stations Using an MC-RMPF. [PDF]
Liu B, Kong L, Wu P.
europepmc +1 more source
Low SNR Multi-Emitter Signal Sorting and Recognition Method Based on Low-Order Cyclic Statistics CWD Time-Frequency Images and the YOLOv5 Deep Learning Model. [PDF]
Huang D, Yan X, Hao X, Dai J, Wang X.
europepmc +1 more source
Unobtrusive Sensing at Home Towards Healthcare 5.0: Technologies, Applications, and Future Directions. [PDF]
Oliveira R +6 more
europepmc +1 more source
Evaluation of Confusion Behaviors in SEI Models. [PDF]
Olds B, Maas E, Michaels AJ.
europepmc +1 more source
AI enhanced strong-field terahertz spectral detection and imaging. [PDF]
Zhang M +12 more
europepmc +1 more source

