Results 231 to 240 of about 1,581 (275)
Robust Radar Emitter Recognition Based on the Three-Dimensional Distribution Feature and Transfer Learning [PDF]
Sensors, 2016 Due to the increasing complexity of electromagnetic signals, there exists a significant challenge for radar emitter signal recognition. To address this challenge, multi-component radar emitter recognition under a complicated noise environment is studied ...
Zhutian Yang, Wei Qiu
exaly +4 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Online clustering algorithms for radar emitter classification
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005Radar emitter classification is a special application of data clustering for classifying unknown radar emitters from received radar pulse samples. The main challenges of this task are the high dimensionality of radar pulse samples, small sample group size, and closely located radar pulse clusters. In this paper, two new online clustering algorithms are
Zhi-Quan Luo, K M Wong
exaly +3 more sources
RADAR Emitter Classification with Optimal Transport Distances
2022 30th European Signal Processing Conference (EUSIPCO), 2022 International audienceIdentifying unknown RADAR emitters from received pulses is an important problem in electronic intelligence. It is a difficult problem, as agile RADAR emitters can have complex characteristics, and measurements are corrupted by ...
Manon Mottier +2 more
openaire +3 more sources
Modelling, Learning and Prediction of Complex Radar Emitter Behaviour
2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), 2019 This paper adapts and extends the previously published hierarchical modelling approach of multifunction radars as systems that speak a language. We propose Long Short-Term Memory neural networks for learning the emitters' grammar and predicting their emissions. The approach is demonstrated using simulations of an airborne multifunction radar with three
Sabine Apfeld +2 more
openaire +2 more sources
A Nonlinear Fingerprint-Level Radar Simulation Modeling Method for Specific Emitter Identification
Electronics (Switzerland), 2021 With the development of information technology for modern military confrontations, radar emitter fingerprint identification has become a hot and difficult topic in the field of electronic warfare, especially in the field of electronic reconnaissance ...
Wenjuan Ren +3 more
exaly +2 more sources
Cumulants-based Radar Specific Emitter Identification
2011 IEEE International Workshop on Information Forensics and Security, 2011In this paper we consider the problem of Radar Specific Emitter Identification (SEI) with the aim of distinguishing among several transmitting sources of the same kind which is a very hot topic in the device forensic field. At the design stage, we introduce a classification technique based on some suitable features evaluated from the cumulants of the ...
AUBRY, AUGUSTO +4 more
openaire +2 more sources
Radar Emitter Identification in Multistatic Radar System: A Review
2021Due to the increasing complexity of modern multi-functional radars in the electromagnetic environment, it is a challenging task to classify and identify the presence of different radar emitters. The presence of multiple number of active transmitters in the multistatic radar system makes radar emitter identification a big data problem as all are ...
Dillip Dash, J. Valarmathi
openaire +1 more source
An Unknown Radar Emitter Identification Method Based on Semi-Supervised and Transfer Learning
Algorithms, 2019 Aiming at the current problem that it is difficult to deal with an unknown radar emitter in the radar emitter identification process, we propose an unknown radar emitter identification method based on semi-supervised and transfer learning.
Yuntian Feng, Chen Xiang
exaly +2 more sources
A new recognition system for radar emitter signals
Kybernetes, 2012PurposeThe purpose of this paper is to develop a new recognition system for identifying advanced radar emitter signals (RES).Design/methodology/approachInitially, the framework of the new recognition system is outlined. Then, feature extraction using resemblance coefficient and wavelet packet decomposition, and feature selection based on quantum ...
Gexiang Zhang, Xu Li
openaire +1 more source
Convolutional neural networks for radar emitter classification
2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), 2018In this paper, an application of convolutional neural networks (CNN) for rapid and accurate classification of electronic warfare emitters is investigated; a large data set with 58 separate emitter sources is used for training and testing. Data preprocessing creates 3-dimensional images with a feature space composed of pulse width (PW), radio frequency (
Lindsay Cain +5 more
openaire +1 more source