Automatic modulation recognition based on mixed-type features-Reference-Cited by-同舟云学术

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Automatic modulation recognition based on mixed-type features

Published:2020-05-13 Issue:1 Volume:108 Page:105-114
ISSN:0020-7217
Container-title:International Journal of Electronics
language:en
Short-container-title:International Journal of Electronics

Author:

Jiang Xin-Rui¹,Chen Hui¹^ORCID,Zhao Yao-Dong²,Wang Wen-Qin¹

Affiliation:

1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. Department of Communication Engineering, Science and Technology on Electronic Information Control Laboratory, Chengdu, China

Funder

National Natural Science Foundation of China

Sichuan Science and Technology Program

Fundamental Research Funds for the Central Universities

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207217.2020.1756456

Reference16 articles.

1. Cooperative Cumulants-Based Modulation Classification in Distributed Networks

2. Abel inversion using total variation regularization: applications

3. Automatic identification of digital modulation types

4. Hassanpour, S., Pezeshk, A. M. & Behnia, F.(2016), ‘Automatic digital modulation recognition based on novel features and support vector machine’, 2016 12th International Conference on Signal-Image Technology Internet-Based Systems (SITIS), 172–177

5. Blind Signal PSK/QAM Recognition Using Clustering Analysis of Constellation Signature in Flat Fading Channel

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1. Prototypical Network with Residual Attention for Modulation Classification of Wireless Communication Signals;Electronics;2023-12-14

2. Modulation Signal Recognition of Underwater Acoustic Communication Based on Archimedes Optimization Algorithm and Random Forest;Sensors;2023-03-02

3. Intelligent Modulation Recognition of Communication Signal for Next-Generation 6G Networks;Computers, Materials & Continua;2023

4. Improving Modulation Recognition Using Time Series Data Augmentation via a Spatiotemporal Multi-Channel Framework;Electronics;2022-12-26

5. Modulation recognition algorithm based on mixed attention prototype network;Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University;2022-12

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