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Online Non-cooperative Radar Emitter Classification from Evolving and Imbalanced Pulse Streams
2020
IEEE Sensors Journal
Recent research treats radar emitter classification (REC) problems as typical closed-set classification problems, i.e., assuming all radar emitters are cooperative and their pulses can be pre-obtained for training the classifiers. However, such overly ideal assumptions have made it difficult to fit real-world REC problems into such restricted models. In this paper, to achieve online REC in a more realistic way, we convert the online REC problem into dynamically performing subspace clustering on
doi:10.1109/jsen.2020.2981976
fatcat:qdtlu5khozcbrledyof7bjor2a