Results 11 to 20 of about 8,956 (287)

Radar Signal Recognition Based on Bagging SVM

open access: yesElectronics, 2023
Radar signal recognition under low signal-to-noise ratio (SNR) conditions is a critical issue in modern electronic reconnaissance systems, which face significant challenges in recognition accuracy due to signal diversity. A novel method for radar signal detection based on the bagging support vector machine (SVM) is proposed in this paper.This method ...
Kaiyin Yu   +5 more
openaire   +2 more sources

Radar Emitter Signal Intra-Pulse Modulation Open Set Recognition Based on Deep Neural Network

open access: yesRemote Sensing, 2023
Radar emitter signal intra-pulse modulation recognition is important for modern electronic reconnaissance systems to analyze target radar systems. In the actual environment, the intra-pulse modulations of the sampled radar emitter signals contain not ...
Shibo Yuan, Peng Li, Bin Wu
doaj   +2 more sources

A Novel Dual-Component Radar-Signal Modulation Recognition Method Based on CNN-ST

open access: yesApplied Sciences
Dual-component radar-signal modulation recognition is a challenging yet significant technique for electronic reconnaissance systems. To improve the lower recognition performance and the higher computational costs of the conventional methods, this paper ...
Chenxia Wan, Qinghui Zhang
doaj   +2 more sources

Efficient FPGA Implementation of Convolutional Neural Networks and Long Short-Term Memory for Radar Emitter Signal Recognition

open access: yesSensors
In 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   +2 more sources

Signal Recognition of Polyphase‐Coded Radar Signals Based on Multifeature Fusion [PDF]

open access: yesWireless Communications and Mobile Computing, 2022
For improving recognition accuracy of polyphase‐coded radar signals under low signal to noise ratio (SNR), a recognition method based on multifeature and feature selection was proposed. First, feature parameters of polyphase‐coded radar signals in time domain, frequency domain, and pseudo‐Zernike moments of Choi‐Williams distribution (CWD) were ...
Xiaofeng Wang, Huixu Dong, Ruilan Tian
openaire   +1 more source

An approach to the modulation recognition of MIMO radar signals [PDF]

open access: yesEURASIP Journal on Wireless Communications and Networking, 2012
Multiple-input multiple-output (MIMO) radar is a new radar system and draws more and more attentions in recent years. Along with the development of MIMO radar, the MIMO radar countermeasure is brought into being. Since the modulation recognition is of great significance in the electronic reconnaissance, this article presents a modulation recognition ...
Xiaojing Wang   +3 more
openaire   +1 more source

Radar emitter multi-label recognition based on residual network

open access: yesDefence Technology, 2022
In low signal-to-noise ratio (SNR) environments, the traditional radar emitter recognition (RER) method struggles to recognize multiple radar emitter signals in parallel.
Yu Hong-hai   +4 more
doaj   +1 more source

Active Deception Jamming Recognition Method in Multimodal Radar Based on Small Samples

open access: yesLeida xuebao, 2023
Jamming recognition is a prerequisite for radar antijamming and actual radar deception jamming recognition; however, there is a problem of insufficient samples.
Shunsheng ZHANG   +4 more
doaj   +1 more source

Radar-Based Hand Gesture Recognition Using Spiking Neural Networks [PDF]

open access: yes, 2021
We propose a spiking neural network (SNN) approach for radar-based hand gesture recognition (HGR), using frequency modulated continuous wave (FMCW) millimeter-wave radar.
Corradi, Federico   +9 more
core   +1 more source

Method for functional state recognition of multifunction radars based on recurrent neural networks

open access: yesIET 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

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