Results 1 to 10 of about 457 (225)
Remote Sensing, 2022 Intra-pulse modulation classification of radar emitter signals is beneficial in analyzing radar systems. Recently, convolutional neural networks (CNNs) have been used in classification of intra-pulse modulation of radar emitter signals, and the results ...
Shibo Yuan +4 more
doaj +5 more sources
A Denoising Method Based on DDPM for Radar Emitter Signal Intra-Pulse Modulation Classification
Remote SensingAccurately classifying the intra-pulse modulations of radar emitter signals is important for radar systems and can provide necessary information for relevant military command strategy and decision making.
Shibo Yuan +4 more
doaj +5 more sources
Efficient FPGA Implementation of Convolutional Neural Networks and Long Short-Term Memory for Radar Emitter Signal Recognition [PDF]
SensorsIn recent years, radar emitter signal recognition has enjoyed a wide range of applications in electronic support measure systems and communication security.
Bin Wu +5 more
doaj +3 more sources
A Novel Batch Streaming Pipeline for Radar Emitter Classification
Applied Sciences, 2023 In electronic warfare, radar emitter classification plays a crucial role in identifying threats in complex radar signal environments. Traditionally, this has been achieved using heuristic-based methods and handcrafted features.
Dong Hyun Park +4 more
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Remote Sensing, 2022 In the modern electromagnetic environment, the intra-pulse modulations of radar emitter signals have become more complex. Except for the single-component radar signals, dual-component radar signals have been widely used in the current radar systems.
Shibo Yuan, Peng Li, Bin Wu
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Radar Emitter Signals Recognition and Classification with Feedforward Networks
Procedia Computer Science, 2013 AbstractA possible application of neural networks for timely and reliable recognition of radar signal emitters is investigated. In particular, a large data set of intercepted generic radar signal samples is used for investigating and evaluating several neural network topologies, training parameters, input and output coding and machine learning ...
Petrov, Nedyalko +2 more
exaly +4 more sources
Aerospace, 2022 Radar data mining is the key module for signal analysis, where patterns hidden inside of signals are gradually available in the learning process and its superiority is significant for enhancing the security of the radar emitter classification (REC ...
Zhigang Zhu +3 more
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Application of Continuous Wavelet Transform and Artificial Naural Network for Automatic Radar Signal Recognition [PDF]
Sensors, 2022 This article aims to propose an algorithm for the automatic recognition of selected radar signals. The algorithm can find application in areas such as Electronic Warfare (EW), where automatic recognition of the type of intra-pulse modulation or the type ...
Marta Walenczykowska, Adam Kawalec
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Few-Shot Radar Emitter Signal Recognition Based on Attention-Balanced Prototypical Network
Remote Sensing, 2022 In recent years, radar emitter signal identification has been greatly developed via the utilization of deep learning and has achieved significant improvements in identification accuracy. However, with the continuous emergence of complex regime radars and
Jing Huang +4 more
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Few-Shot Learning for Radar Emitter Signal Recognition Based on Improved Prototypical Network
Remote Sensing, 2022 In recent years, deep learning has been widely used in radar emitter signal identification and has significantly increased recognition rates. However, with the emergence of new institutional radars and an increasingly complex electromagnetic environment,
Jing Huang +4 more
doaj +3 more sources