LPI Radar Signals Modulation Recognition Based on ACDCA-ResNeXt

Author:

Wang Xudong1,Xu Guiguang1ORCID,Yan He1ORCID,Zhu Daiyin1ORCID,Wen Ying1,Luo Zehu1

Affiliation:

1. College of Electronics and Information Engineering/College of Integrated Circuits, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Funder

National Natural Science Foundation of China

Ministry of Industry Civil Aircraft Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference28 articles.

1. LPI Radar Waveform Recognition Based on Multi-Resolution Deep Feature Fusion

2. Radar emitter signal recognition based on dilated residual network;qin;Acta Electronica Sinica,2020

3. Research on denoise and detection technology of low probability radar radiation source signal;hu,2017

4. LPI Radar Waveform Recognition Based on Deep Convolutional Neural Network Transfer Learning

5. LPI Radar Waveform Recognition Based on Features from Multiple Images

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Transformer-based models for intrapulse modulation recognition of radar waveforms;Engineering Applications of Artificial Intelligence;2024-10

2. Intra-pulse modulation discrimination using a self-supervised attention-driven CNN-BiLSTM-VAE combination;Physical Communication;2024-09

3. A Multiscale Dual Attention Sparse Dual Network for Time-Frequency Image Denoising of Radar Signal;IEEE Sensors Journal;2024-07-15

4. Open‐set recognition of LPI radar signals based on a slightly convolutional neural network and support vector data description;International Journal of Numerical Modelling: Electronic Networks, Devices and Fields;2024-01-22

5. Improved Radar Signal Recognition by Combining ResNet with Transformer Learning;2024 International Conference on Green Energy, Computing and Sustainable Technology (GECOST);2024-01-17

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3