Signal Automatic Modulation Classification and Recognition in View of Deep Learning
With the advancement of 5G technology, wireless communication resources such as channels and spectrum become scarce. This necessitates ensuring the efficiency and security of signal modulation and demodulation, which imposes higher requirements for ...
Tianpei Xu, Ying Ma
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Automatic Modulation Recognition Based on a DCN-BiLSTM Network [PDF]
Automatic modulation recognition (AMR) is a significant technology in noncooperative wireless communication systems. This paper proposes a deep complex network that cascades the bidirectional long short-term memory network (DCN-BiLSTM) for AMR.
Kai Liu, Wanjun Gao, Qinghua Huang
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FedeAMR-CFF: A Federated Automatic Modulation Recognition Method Based on Characteristic Feature Fine-Tuning [PDF]
Modulation recognition technology, as one of the core technologies in the field of wireless communications, holds significant importance in intelligent communication systems such as link adaptation and IoT devices.
Meng Zhang +3 more
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Deep Learning-Based Automatic Modulation Recognition Method in the Presence of Phase Offset
Automatic modulation recognition (AMR) plays an important role in various communications systems. It has the ability of adaptive modulation and can adapt to various complex environments.
Jie Shi +5 more
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DGrA: Lightweight Modulation Recognition Based on Hybrid Neural Networks [PDF]
Automatic modulation recognition has been recognized as an effective technique for non-cooperative communication and intelligent transmission. In this paper, we propose a new lightweight method for automatic modulation recognition, aiming to extract ...
Xu Chen, Rui Gao, Ding Xu, Hongbo Zhu
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Generative Adversarial Networks-Based Semi-Supervised Automatic Modulation Recognition for Cognitive Radio Networks. [PDF]
Li M, Li O, Liu G, Zhang C.
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Deep Learning for Recognition of Digital Modulations: A Detailed Study [PDF]
The automatic modulation recognition of the received signal is very attractive in both military and civilian applications. In the recent years, deep learning techniques have received much attention due to their excellent performance in signal, audio ...
MohammadMohsen Jadidi, Abbas Mohammadi
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Automatic Modulation Recognition Based on Deep Learning [PDF]
Automatic modulation recognition (AMR) is critical to realize efficient spectrum sensing,spectrum management and spectrum utilization in non-cooperative communication scenarios.It is also an important prerequisite for efficient signal proces-sing ...
JIAO Xiang, WEI Xiang-lin, XUE Yu, WANG Chao, DUAN Qiang
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MOD3NN: A Framework for Automatic Signal Modulation Detection Using 3D CNN
In this work, we present an application of a three-dimensional convolutional neural network for the task of automatic modulation recognition from raw I/Q signal data.
Vishal Perekadan +5 more
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Modulation Recognition Algorithm of Digital and Analog Mixed Signal Based on Neural Network [PDF]
The modulation recognition technology of communication signal can be used in signal confirmation,interference identification,electronic warfare combat and intersatellite link communication.Aiming at the problem of the low signal modulation recognition ...
NIU Guoqing,YAO Xiujuan,YAN Yi,WANG Chunmei
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