Results 41 to 50 of about 350 (145)

Ensemble convolutional neural networks for automatic fusion recognition of multi‐platform radar emitters

open access: yesETRI Journal, 2019
Presently, the extraction of hand‐crafted features is still the dominant method in radar emitter recognition. To solve the complicated problems of selection and updation of empirical features, we present a novel automatic feature extraction structure ...
Zhiwen Zhou, Gaoming Huang, Xuebao Wang
doaj   +1 more source

Prototype‐based method for incremental radar emitter identification

open access: yesIET Radar, Sonar & Navigation, 2023
With the widespread use of radars, different types of radar emitters are being used in the real electromagnetic environment. Radar emitter identification (REI) is an important technique in spectrum management.
Xiao Han   +3 more
doaj   +1 more source

A Time-Space Domain Information Fusion Method for Specific Emitter Identification Based on Dempster–Shafer Evidence Theory

open access: yesSensors, 2017
Specific emitter identification plays an important role in contemporary military affairs. However, most of the existing specific emitter identification methods haven’t taken into account the processing of uncertain information.
Wen Jiang   +3 more
doaj   +1 more source

Dynamic open set specific emitter identification via multi‐channel reconstructive discriminant network

open access: yesIET Radar, Sonar & Navigation, 2023
Specific emitter identification (SEI) is an emerging device authentication technology, which depends on the inherent hardware characteristics of wireless devices. By analysing the received signal, the hardware characteristics of a specific emitter can be
Kaiwen Tan   +5 more
doaj   +1 more source

Long‐Tailed Distributed Radar Emitter Signal Automatic Modulation Recognition Based on Decoupled Training

open access: yesIET Radar, Sonar & Navigation
The existing radar emitter modulation recognition methods typically assume that the data distribution across different types is balanced. But in reality, the number of signals of various kinds often follows a long‐tail distribution, leading to model ...
Gangyin Sun   +4 more
doaj   +1 more source

Radar emitter signal recognition based on one-dimensional convolutional recurrent neural network

open access: yes四川大学学报. 自然科学版, 2023
Aiming at the problem of incomplete features and low timeliness in artificial extraction of radar emitter signal, a novel recognition method is proposed based on one-dimension convolutional neural network and bidirectional gated recurrent unit.
LIU Tao-Tao   +3 more
doaj  

Pulse‐level work state recognition of multifunction radar based on MC‐RSG

open access: yesIET Radar, Sonar & Navigation
Accurate work state recognition of multifunction radar (MFR) is crucial in electronic warfare, as it helps understand the enemy's intention and evaluate potential threats.
Zijun Qin   +3 more
doaj   +1 more source

An Estimation of Signal Emitter Parameters from the Amplitude Measurements by an ESM Receiver

open access: yesAdvances in Electrical and Computer Engineering
In passive radar data processing, some emitter parameters can be extracted from the amplitude data measured by an Electronic Support Measures (ESM) receiver over a specific time.
PHAM, V. T., HUBACEK, P.
doaj   +1 more source

Transfer learning method for specific emitter identification based on pseudo‐labelling and meta‐learning

open access: yesIET Radar, Sonar & Navigation
Specific emitter identification (SEI) represents a prominent research direction within the electronic countermeasures domain aimed at discerning carrier identity attributes by analysing subtle radar characteristics.
Qing Ling   +4 more
doaj   +1 more source

An adaptive synthetic method for long sequence radar mode recognition

open access: yesIET Radar, Sonar & Navigation
Radar work mode recognition is crucial to analyse radar behaviour and intention. There are some challenges limiting the recognition of long sequences with multiple mode classes.
Xiaozhou Chen   +4 more
doaj   +1 more source

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