Results 41 to 50 of about 926 (278)
Automatic modulation classification of noise‐like radar intrapulse signals using cascade classifier
ETRI Journal, 2021 Automatic modulation classification is essential in radar emitter identification. We propose a cascade classifier by combining a support vector machine (SVM) and convolutional neural network (CNN), considering that noise might be taken as radar signals ...
Xianpeng Meng +4 more
doaj +1 more source
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
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Detection and Separation of Multi-component Radar Emitter Signal [PDF]
Advances in Engineering Research, 2015 The problem of multi-component radar emitter signal processing is studied, an effective method based on time-varying filtering is proposed to detect and separate the multi-component signal in radar reconnaissance occasion. Each signal component in the time-frequency plane is detected by the region growing method which is an image segmentation algorithm.
Lijun Qi, Guoyi Zhang, Xiaofeng Wang
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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
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Sensors, 2021 With the increasing complexity of the electromagnetic environment and continuous development of radar technology we can expect a large number of modern radars using agile waveforms to appear on the battlefield in the near future.
Jan Matuszewski, Dymitr Pietrow
doaj +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
doaj +1 more source
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.
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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
Image processing and agent-based framework for the geolocation of emitters [PDF]
, 2010 The research presented in this thesis is about a task of geolocation of radio frequency emitters. In this research the problem of geolocation of non-collaborative emitter was addressed.
Mikhalev, A.
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