Dynamic Convolutional Neural Network for Wireless Interference Identification-Reference-Cited by-同舟云学术

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Dynamic Convolutional Neural Network for Wireless Interference Identification

Published:2024-01 Issue:1 Volume:28 Page:83-87
ISSN:1089-7798
Container-title:IEEE Communications Letters
language:
Short-container-title:IEEE Commun. Lett.

Author:

Yan Helin¹^ORCID,Wang Gongpu¹^ORCID,Gao Feifei²^ORCID,Yuan Wanmai³^ORCID

Affiliation:

1. School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China

2. Department of Automation, State Key Laboratory of Intelligent Technologies and Systems and the State Key for Information Science and Technology (TNList), Tsinghua University, Beijing, China

3. CETC Information Science Academy, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Natural Science Foundation

“Pilotage Plan” IoT project from Wuxi IoT innovation promotion center

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/4234/10384586/10328870.pdf?arnumber=10328870

Reference15 articles.

1. Deep Fusion for Radar Jamming Signal Classification Based on CNN

2. Optimal Transceiver Design for Interference Alignment Based Cognitive Radio Networks

3. Jamming recognition method based on the polarisation scattering characteristics of chaff clouds

4. Deep Multimodal Learning: Merging Sensory Data for Massive MIMO Channel Prediction

5. Dynamic Neural Network for MIMO Detection

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