Multihydrophone Fusion Network for Modulation Recognition [PDF]
Sensors, 2022 Deep learning (DL)-based modulation recognition methods of underwater acoustic communication signals are mostly applied to a single hydrophone reception scenario.
Haiwang Wang +3 more
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Modulation Recognition Method for Underwater Acoustic Communication Signals Based on Passive Time Reversal-Autoencoder with the Synchronous Signals [PDF]
Sensors, 2023 In the process of the modulation recognition of underwater acoustic communication signals, the multipath effect seriously interferes with the signal characteristics, reducing modulation recognition accuracy.
Yalin Hu +3 more
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A dual input dual spliced network with data augmentation for robust modulation recognition in communication countermeasures [PDF]
Scientific ReportsIn the realm of communication reconnaissance, the accuracy of modulation recognition is of paramount importance. The modulation recognition task mainly encompasses two key aspects: the dataset and the network model. To enhance the recognition rate across
Wang Guan
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Radio Frequency Database Construction and Modulation Recognition in Wireless Sensor Networks [PDF]
Sensors, 2022 Current modulation recognition methods in wireless sensor networks rely too much on simulation datasets. Its practical application effect cannot reach the expected results.
Kun Liu, Xin Xiang, Liyan Yin
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Modulation Recognition of Radar Signals Based on Adaptive Singular Value Reconstruction and Deep Residual Learning [PDF]
Sensors, 2021 Automatically recognizing the modulation of radar signals is a necessary survival technique in electronic intelligence systems. In order to avoid the complex process of the feature extracting and realize the intelligent modulation recognition of various ...
Kuiyu Chen +4 more
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Leveraging Machine Learning Classifiers in Transfer Learning for Few-Shot Modulation Recognition [PDF]
SensorsThe rapid advancement of communication systems has heightened the demand for efficient and robust modulation recognition. Conventional deep learning-based methods, however, often struggle in practical few-shot scenarios where acquiring sufficient labeled
Song Li, Yong Wang, Jun Xiong, Xia Wang
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Signal Automatic Modulation Classification and Recognition in View of Deep Learning
IEEE Access, 2023 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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A Kind of Wireless Modulation Recognition Method Based on DenseNet and BLSTM
IEEE Access, 2021 Deep learning has achieved remarkable results in various fields, such as image recognition and classification. However, in the recognition of radio modulation methods, deep learning for different modulation methods of radio signal recognition results are
Xiaosong Xie +4 more
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Signal estimation in cognitive satellite networks for satellite-based industrial internet of things [PDF]
, 2021 Satellite industrial Internet of Things (IIoT) plays an important role in industrial manufactures without requiring the support of terrestrial infrastructures.
Chen, Yunfei +5 more
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Deep Learning for Recognition of Digital Modulations: A Detailed Study [PDF]
AUT Journal of Electrical Engineering, 2022 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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