Radar-Specific Emitter Identification With Only Envelope Power Based on Multidimensional Complex Noncentral Chi-Square Classifier

Author:

Fang Yuyuan1ORCID,Wei Song1ORCID,Zhao Yang1ORCID,Zhang Lei1ORCID,Chen Li-Li2

Affiliation:

1. School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China

2. Artificial Intelligence Research Center, National Innovation Institute of Defense Technology, Beijing, China

Funder

Shenzhen Science and Technology Program

Introduced Innovative Research and Development Team Project of “The Pearl River Talent Recruitment Program”

Guangdong Key Laboratory of Advanced IntelliSense Technology

Aeronautical Science Foundation of China

Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Reference28 articles.

1. Specific Emitter Identification Based on Multi-Level Sparse Representation in Automatic Identification System

2. Deep Learning Based RF Fingerprint Identification Using Differential Constellation Trace Figure

3. Deep residual learning for image recognition;he;Proc IEEE Conf Comput Vis Pattern Recognit,2015

4. ImageNet classification with deep convolutional neural networks;krizhevsky;Proc Adv Neural Inf Process Syst,2012

5. Design and Evaluation of a Graphical Deep Learning Approach for RF Fingerprinting

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