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检索条件"主题词=Automatic Modulation Classification"
371 条 记 录,以下是31-40 订阅
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automatic modulation classification Using Involution Enabled Residual Networks
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IEEE WIRELESS COMMUNICATIONS LETTERS 2021年 第11期10卷 2417-2420页
作者: Zhang, Hao Yuan, Lu Wu, Guangyu Zhou, Fuhui Wu, Qihui Nanjing Univ Aeronaut & Astronaut Coll Elect & Informat Engn Nanjing 210000 Peoples R China Nanjing Univ Aeronaut & Astronaut Key Lab Dynam Cognit Syst Electromagnet Spectrum Nanjing 210000 Peoples R China Univ Sci & Technol China Dept Comp Sci & Technol Hefei 230026 Peoples R China
automatic modulation classification (AMC) is of crucial importance for realizing wireless intelligence communications. Many deep learning based models especially convolution neural networks (CNNs) have been proposed f... 详细信息
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automatic modulation classification Using Moments and Likelihood Maximization
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IEEE COMMUNICATIONS LETTERS 2018年 第5期22卷 938-941页
作者: Abu-Romoh, Mohannad Aboutaleb, Ahmed Rezki, Zouheir Univ Idaho Dept Elect & Comp Engn Moscow ID 83844 USA
Motivated by the fact that moments of the received signal are easy to compute and can provide a simple way to automatically classify the modulation of the transmitted signal, we propose a hybrid method for automatic m... 详细信息
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automatic modulation classification Using Convolutional Neural Network With Features Fusion of SPWVD and BJD
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IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS 2019年 第3期5卷 469-478页
作者: Zhang, Zufan Wang, Chun Gan, Chenquan Sun, Shaohui Wang, Mengjun Chongqing Univ Posts & Telecommun Sch Commun & Informat Engn Chongqing 400065 Peoples R China China Acad Telecommun Technol State Key Lab Wireless Mobile Commun Beijing 100191 Peoples R China
automatic modulation classification (AMC) is becoming increasingly important in spectrum monitoring and cognitive radio. However, most existing modulation classification algorithms neglect the complementarities betwee... 详细信息
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automatic modulation classification in Impulsive Noise: Log-Domain 3-D Constellation Diagrams and Multiscale Dual-Convolutional 3DCNN
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IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING 2024年 第4期10卷 1204-1217页
作者: Bai, Jiansheng Yao, Jinjie Guo, Yurong Yang, Zhiliang Wang, Liming North Univ China State Key Lab Elect Testing Technol Taiyuan 030051 Shanxi Peoples R China
automatic modulation classification (AMC) is vital in cognitive communication systems. Existing AMC methods are mainly designed for Gaussian noise channels, but research shows that non-Gaussian impulsive noise in wire... 详细信息
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automatic modulation classification Using CNN-LSTM Based Dual-Stream Structure
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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2020年 第11期69卷 13521-13531页
作者: Zhang, Zufan Luo, Hao Wang, Chun Gan, Chenquan Xiang, Yong Chongqing Univ Posts & Telecommun Sch Commun & Informat Engn Chongqing 400065 Peoples R China Chongqing Key Lab Mobile Commun Technol Chongqing 400065 Peoples R China Minist Educ Engn Res Ctr Mobile Commun Chongqing 400065 Peoples R China Deakin Univ Sch Informat Technol Burwood Vic 3125 Australia
Deep learning (DL) has recently aroused substantial concern due to its successful implementations in many fields. Currently, there are few studies on the applications of DL in the automatic modulation classification (... 详细信息
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automatic modulation classification Using Interacting Multiple Model Kalman Filter for Channel Estimation
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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2019年 第9期68卷 8928-8939页
作者: Salam, Ahmed O. Abdul Sheriff, Ray E. Hue, Yim-Fun Al-Araji, Saleh R. Mezher, Kahtan Univ Bradford Fac Engn & Informat Bradford BD7 1DP W Yorkshire England Univ Bolton Sch Engn Bolton BL3 5AB England Khalifa Univ Coll Engn Abu Dhabi 127788 U Arab Emirates
A rigorous model for automatic modulation classification (AMC) in cognitive radio systems is proposed in this paper. This is achieved by exploiting the Kalman filter (KF) integrated with an adaptive interacting multip... 详细信息
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automatic modulation classification for MIMO System Based on the Mutual Information Feature Extraction
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IEEE ACCESS 2024年 12卷 68463-68470页
作者: Ussipov, N. Akhtanov, S. Zhanabaev, Z. Turlykozhayeva, D. Karibayev, B. Namazbayev, T. Almen, D. Akhmetali, A. Tang, Xiao Al Farabi Kazakh Natl Univ Fac Phys & Technol Alma Ata 050040 Kazakhstan Almaty Univ Power Engn & Telecommun Dept Telecommun Engn Alma Ata 050013 Kazakhstan Northwestern Polytechin Univ Sch Elect & Informat Xian 710071 Peoples R China
automatic modulation classification (AMC) is an essential technology that is widely applied into various communications scenarios. In recent years, many Machine Learning and Deep-Learning methods have been introduced ... 详细信息
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automatic modulation classification Using Deep Learning Based on Sparse Autoencoders With Nonnegativity Constraints
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IEEE SIGNAL PROCESSING LETTERS 2017年 第11期24卷 1626-1630页
作者: Ali, Afan Fan Yangyu Northwestern Polytech Univ Sch Elect & Informat Engn Xian 710072 Shaanxi Peoples R China
We demonstrate a novel method for the automatic modulation classification based on a deep learning autoencoder network, trained by a nonnegativity constraint algorithm. The learning algorithm aims to constrain the neg... 详细信息
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automatic modulation classification Using Contrastive Fully Convolutional Network
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IEEE WIRELESS COMMUNICATIONS LETTERS 2019年 第4期8卷 1044-1047页
作者: Huang, Sai Jiang, Yizhou Gao, Yue Feng, Zhiyong Zhang, Ping Beijing Univ Posts & Telecommun Key Lab Universal Wireless Commun Minist Educ Beijing 100876 Peoples R China Queen Mary Univ London Sch Elect Engn & Comp Sci London E1 4NS England
automatic modulation classification (AMC) aims at identifying the modulation format of the received signal. In this letter, we propose a novel grid constellation matrix (GCM)-based AMC method using a contrastive fully... 详细信息
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automatic modulation classification for MIMO Systems via Deep Learning and Zero-Forcing Equalization
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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2020年 第5期69卷 5688-5692页
作者: Wang, Yu Gui, Jie Yin, Yue Wang, Juan Sun, Jinlong Gui, Guan Gacanin, Haris Sari, Hikmet Adachi, Fumiyuki Nanjing Univ Posts & Telecommun Coll Telecommun & Informat Engn Nanjing 210003 Peoples R China Univ Michigan Dept Computat Med & Bioinformat Ann Arbor MI 48109 USA Rhein Westfal TH Aachen Fac Elect Engn & Informat Technol D-5552062 Aachen Germany Tohoku Univ Res Org Elect Commun ROEC Sendai Miyagi 9808577 Japan
automatic modulation classification (AMC) is one of the most critical technologies for non-cooperative communication systems. Recently, deep learning (DL) based AMC (DL-AMC) methods have attracted significant attentio... 详细信息
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