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检索条件"主题词=Automatic Modulation Classification"
373 条 记 录,以下是21-30 订阅
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automatic modulation classification with Low-Cost Attention Network for Impaired OFDM Signals
Automatic Modulation Classification with Low-Cost Attention ...
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IEEE Wireless Communications and Networking Conference (IEEE WCNC)
作者: Huynh-The, Thien Pham, Quoc-Viet Nguyen, Toan-Van da Costa, Daniel Benevides Kim, Dong-Seong Kumoh Natl Inst Technol ICT Convergence Res Ctr Gumi South Korea Pusan Natl Univ Korean Southeast Ctr Ind Revolut Leader Educ 4 Busan South Korea Utah State Univ Dept Elect & Comp Engn Logan UT 84322 USA Technol Innovat Inst AI & Telecom Res Ctr Abu Dhabi U Arab Emirates Natl Yunlin Univ Sci & Technol Future Technol Res Ctr Touliu Taiwan
In this paper, we propose a deep learning (DL)-based method to automatically identify the modulations of orthogonal frequency-division multiplexing (OFDM) signals in wireless communication systems. In particular, a co... 详细信息
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Designing novel deep learning based frameworks for performance improvement of automatic modulation classification
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2025年 152卷
作者: Islam, Soyabul Maswood, Mirza Mohd Shahriar Khulna Univ Engn & Technol Dept Elect & Commun Engn Khulna 9203 Bangladesh
Efficiently recognizing modulated signals has grown more crucial as communication technologies advances. Unfortunately, obstacles including a large number of data and inaccurate identification provide a barrier to adv... 详细信息
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Channel-Robust automatic modulation classification Using Companding Spectral Quotient Cumulants
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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2024年 第11期73卷 17749-17753页
作者: Huang, Sai Chen, Yuting He, Jiashuo Chang, Shuo Feng, Zhiyong Beijing Univ Posts & T elecommun Key Lab Universal Wireless Commun Minist Educ Beijing 100876 Peoples R China
automatic modulation classification (AMC) is to identify the modulation format of the received signal corrupted by the channel effects and noise. Most existing works focus on the impact of noise while relatively littl... 详细信息
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MAMCOptimal on Accuracy and Efficiency for automatic modulation classification With Extended Signal Length
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IEEE COMMUNICATIONS LETTERS 2024年 第12期28卷 2864-2868页
作者: Zhang, Yezhuo Zhou, Zinan Cao, Yichao Li, Guangyu Li, Xuanpeng Southeast Univ Sch Instrument Sci & Engn Nanjing 210096 Jiangsu Peoples R China Univ Sci & Technol Sch Comp Sci & Engn Nanjing 210094 Jiangsu Peoples R China
In automatic modulation classification (AMC), extended signal lengths offer a bounty of information, yet impede the model's adaptability, introduce more noise interference, extend the training and inference time, ... 详细信息
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Multi-Scale Feature Fusion and Distribution Similarity Network for Few-Shot automatic modulation classification
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IEEE SIGNAL PROCESSING LETTERS 2024年 31卷 2890-2894页
作者: Tan, Haoyue Zhang, Zhenxi Li, Yu Shi, Xiaoran Zhou, Feng Xidian Univ Xian 710126 Peoples R China
automatic modulation classification (AMC), as a key technology of cognitive radio, has become a focal point of research. However, most deep learning-based AMC methods require an extensive number of labeled signals to ... 详细信息
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A lightweight deep learning architecture for automatic modulation classification of wireless internet of things
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IET COMMUNICATIONS 2024年 第18期18卷 1220-1230页
作者: Han, Jia Yu, Zhiyong Yang, Jian PLA Rocket Force Univ Engn Dept Comp Xian Shaanxi Peoples R China PLA Rocket Force Univ Engn Dept Engn Xian Shaanxi Peoples R China
The wireless Internet of Things (IoT) is widely used for data transmission in power systems. Wireless communication is an important part of the IoT. The existing modulation classification algorithms have low classific... 详细信息
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GAF-MAE: A Self-Supervised automatic modulation classification Method Based on Gramian Angular Field and Masked Autoencoder
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IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING 2024年 第1期10卷 94-106页
作者: Shi, Yunhao Xu, Hua Zhang, Yue Qi, Zisen Wang, Dan Air Force Engn Univ Xian 710038 Peoples R China Northwestern Polytech Univ Unmanned Syst Res Inst Xian 710072 Peoples R China
With the development of deep learning (DL), several fields have ushered in leapfrog development, such as image classification and natural language processing. Combing the powerful feature extraction tool, DL-based Aut... 详细信息
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Meta-Transformer: A Meta-Learning Framework for Scalable automatic modulation classification
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IEEE ACCESS 2024年 12卷 9267-9276页
作者: Jang, Jungik Pyo, Jisung Yoon, Young-Il Choi, Jaehyuk Gachon Univ Sch Comp Seongnam 13120 South Korea LIG Nex1 Res & Dev Ctr Seongnam 13488 South Korea
Recent advances in deep learning (DL) have led many contemporary automatic modulation classification (AMC) techniques to use deep networks in classifying the modulation type of incoming signals at the receiver. Howeve... 详细信息
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Reparameterization Causal Convolutional Network for automatic modulation classification
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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2024年 第6期73卷 8576-8583页
作者: Tang, Ning Wang, Xiaoyu Zhou, Fei Tang, Shengyu Lyu, Yaohui Ocean Univ China Coll Informat Sci & Engn Qingdao 266003 Peoples R China Jilin Univ Coll Comp Sci & Technol Changchun 130061 Peoples R China
With the proliferation of wireless technologies in vehicular networks, robust automatic modulation classification (AMC) has become crucial for optimizing spectrum utilization and maintaining reliability. However, AMC ... 详细信息
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automatic modulation classification in Deep Learning  5
Automatic Modulation Classification in Deep Learning
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5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA)
作者: Alnajjar, Khawla A. Ghunaim, Sara Ansari, Sam Univ Sharjah Dept Elect Engn Sharjah U Arab Emirates Univ Sharjah Dept Comp Engn Sharjah U Arab Emirates
Due to the evolution and availability of vast amounts of data for transferring, receiving, and detection, the field of signal recognition and modulation classification has become vital in various fields and applicatio... 详细信息
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