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
doaj +2 more sources
DGrA: Lightweight Modulation Recognition Based on Hybrid Neural Networks [PDF]
SensorsAutomatic 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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
Modulation Recognition of Communication Signals Based on Multimodal Feature Fusion [PDF]
Sensors, 2022 Modulation recognition is the indispensable part of signal interception analysis, which has always been the research hotspot in the field of radio communication.
Xinliang Zhang +4 more
doaj +2 more sources
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
doaj +2 more sources
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
doaj +1 more source
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
doaj +1 more source