Results 31 to 40 of about 482 (253)
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
doaj +1 more source
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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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 Emitter Signal Recognition Based on EMD and Neural Network
Journal of Computers, 2012 Radar emitter signal (RES) recognition is the important content in radar reconnaissance and signal processing. In order to study the problem of RES recognition, and to improve the RES recognition rate of the electronic warfare equipment, the empirical mode decomposition (EMD) theory and wavelet packet (WP) are introduced into RES feature extraction.
Bin Zhu, Weidong Jin
openaire +1 more source
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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Deep Learning Techniques in Radar Emitter Identification
, 2023 In the field of electronic warfare (EW), one of the crucial roles of electronic intelligence is the identification of radar signals. In an operational environment, it is very essential to identify radar emitters whether friend or foe so that appropriate ...
Gupta, Preeti, Kakde, O G, Jain, Pooja
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Advanced Functional Materials, EarlyView.This work develops polyacrylamide‐alginate (PAM‐Alg) double‐network hydrogel fibers for multimodal perception and intelligent human‐machine interfaces. The covalent‐ionic network provides high strength, toughness, and stable conductivity. Easily woven into wearables and integrated with soft robots, the fibers enable object and temperature recognitions ...
Yujue Yang +10 more
wiley +1 more source
Development and performance evaluation of a multistatic radar system [PDF]
, 2008 Multistatic radar systems are of emerging interest as they can exploit spatial diversity, enabling improved performance and new applications. Their development is being fuelled by advances in enabling technologies in such fields as communications and ...
Doughty, Shaun Raymond, Doughty, S.R.
core
Specific Emitter Identification Based on Synchrosqueezing Transform for Civil Radar
, 2020 Time-frequency (TF) signal features are widely used in specific emitter identification (SEI) which commonly arises in many applications, especially for radar signals.
Mingzhe Zhu +5 more
core +1 more source
Convolutional Neural Network-Based Radar Antenna Scanning Period Recognition
, 2022 The antenna scanning period (ASP) of radar is a crucial parameter in electronic warfare (EW) which is used in many applications, such as radar work pattern recognition and emitter recognition. For antennas of radars and EW systems, which perform scanning
Bin Wang +3 more
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