Results 41 to 50 of about 1,098 (282)
Deep Feature Autoextraction Method for Intrapulse Data of Radar Emitter Signal
Mobile Information Systems, 2021 Concerned with the problems that the extracted features are the absence of objectivity for radar emitter signal intrapulse data because of relying on priori knowledge, a novel method is proposed. First, this method gets the sparse autoencoder by adding certain restrain to the autoencoder.
Shiqiang Wang 0002 +7 more
openaire +1 more source
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
core +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
doaj +1 more source
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
doaj
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
IRelNet: An Improved Relation Network for Few-Shot Radar Emitter Identification
Drones, 2023 In future electronic warfare (EW), there will be many unmanned aerial vehicles (UAVs) equipped with electronic support measure (ESM) systems, which will often encounter the challenge of radar emitter identification (REI) with few labeled samples.
Zilong Wu, Meng Du, Daping Bi, Jifei Pan
doaj +1 more source
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
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
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
Submicron Metasurface Reconfigured Multiband Smart Windows
Advanced Functional Materials, EarlyView.This work presents a submicron metasurface reconfigured multiband thermochromic smart window. By integrating subwavelength nanostructures into a Fabry−Perot resonator configuration, it mitigates conventional trade‐offs to simultaneously deliver high luminous transmittance and robust solar heating and radiative cooling modulation capabilities ...
Guanya Wang +8 more
wiley +1 more source