ELM-Based Discriminant Auto-Encoder and Multi-Kernel Fusion for Radar Specific Emitter Identification
Author:
Affiliation:
1. School of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an, China
2. Nanjing Research Institute of Electronic Engineering, Nanjing, China
Funder
National Natural Science Foundation of China
Special Scientific Research Plan of Education Department of Shaanxi Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10272334.pdf?arnumber=10272334
Reference48 articles.
1. Specific radar emitter identification based on two stage multiple kernel extreme learning machine
2. Hierarchical One-Class Classifier With Within-Class Scatter-Based Autoencoders
3. Deep learning-based specific emitter identification using integral bispectrum and the slice of ambiguity function
4. Kernel-Based Multilayer Extreme Learning Machines for Representation Learning
5. Application and development of artificial intelligence technology for intelligence reconnaissance field;xiong;Commun Syst Inf Technol,2019
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