Results 21 to 30 of about 350 (145)
IEEE Access, 2021 In the modern electronic warfare signal environment, multiple radar signals of high density are mixed and received, and separating them into signals for each emitter is an essential step for emitter identification. Each radar has its own pulse repetition
Jin-Woo Han, Cheong Hee Park
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Research on radar emitter attribute recognition method [PDF]
Geo-spatial Information Science, 2006 In order to solve emitter recognition problems in a practical reconnaissance environment, attribute mathematics is introduced. The basic concepts and theory of attribute set and attribute measure are described in detail. A new attribute recognition method based on attribute measure is presented in this paper.
Guan Xin, Yi Xiao, He You
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Radar Signals Intrapulse Modulation Recognition Using Phase-Based STFT and BiLSTM
IEEE Access, 2022 The goal of radar emitter recognition (RER) is to extract the features of the received emitter signal. This has become a critical issue as new radar types are emerging, and the electromagnetic environment is becoming denser and more complex.
Sidra Ghayour Bhatti, Aamer Iqbal Bhatti
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Towards Radar Emitter Recognition in Changing Environments with Domain Generalization
Proceedings of the 2nd International Conference on Signal Processing, Computer Networks and Communications, 2023 Analyzing radar signals from complex Electronic Warfare (EW) environment is a non-trivial task.However, in the real world, the changing EW environment results in inconsistent signal distribution, such as the pulse repetition interval (PRI) mismatch between different detected scenes.In this paper, we propose a novel domain generalization framework to ...
Honglin Wu +4 more
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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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Recognition of Radar Emitters with Agile Waveform Based on Hybrid Deep Neural Network and Attention Mechanism [PDF]
Radioengineering, 2021 With the increasing complexity of the electromagnetic environment and the continuous development of radar technology, more and more modern digital programmable radars using agile waveform will appear in the future battlefield.
Y. Feng +6 more
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Radar signals recognition based on attention and denoising residual network [PDF]
ITM Web of Conferences, 2022 To solve the problem that complex radar emitter signals are difficult to identify under low signal-to-noise ratio, this paper proposes a novel radar signal recognition method based on an improved deep residual network.
Ding Jiajun, Yan Yunyang, Liu Yian
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Method for functional state recognition of multifunction radars based on recurrent neural networks
IET Radar, Sonar & Navigation, 2021 Radar signal recognition plays a vital role in electronic warfare. For the multifunction radars (MFRs) with complex dynamical modes, the signal recognition needs to identify not only the emitter but also its current functional state. Existing research on
Xinsong Xu, Daping Bi, Jifei Pan
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Feature Evaluation and Comparison in Radar Emitter Recognition Based on SAHP [PDF]
Electronics, 2021 In the field of radar emitter recognition, with the wide application of modern radar, the traditional recognition method based on typical five feature parameters cannot achieve satisfactory recognition results in a complex electromagnetic environment. Currently, many new feature extraction methods are presented, but few approaches have been applied for
Jian Xue +5 more
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Specific Emitter Identification Techniques for the Internet of Things
IEEE Access, 2020 Specific Emitter Identification (SEI) detects the individual emitter according its varied signal characteristics. The method operates in the physical layer of the internet and can effectively improve the security of the Internet of Things (IoT ...
Kejin Sa +3 more
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