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Target-mounted intelligent reflecting surface for secure wireless sensing
In this paper, we consider a challenging secure wireless sensing scenario where a
legitimate radar station (LRS) intends to detect a target at unknown location in the presence …
legitimate radar station (LRS) intends to detect a target at unknown location in the presence …
Image segmentation for radar signal deinterleaving using deep learning
Passive systems, such as electronic intelligence and electronic support measures systems,
aim to extract necessary information from the received radar signals for situational …
aim to extract necessary information from the received radar signals for situational …
Deep ToA mask-based recursive radar pulse deinterleaving
In a complex electromagnetic environment, multiple radar signals of various modes are
densely interleaved. In this environment, radar parameters overlap seriously and change …
densely interleaved. In this environment, radar parameters overlap seriously and change …
Incremental deinterleaving of radar emitters
In this article, we present a new paradigm for the deinterleaving of radar signals in electronic
support systems. Traditional systems observe the electromagnetic spectrum for a longer …
support systems. Traditional systems observe the electromagnetic spectrum for a longer …
An Overview and Classification of Machine Learning Approaches for Radar Signal Deinterleaving
L Lesieur, JM Le Caillec, A Khenchaf, V Guardia… - IEEE …, 2025 - ieeexplore.ieee.org
Electronic Warfare (EW) receivers are passive systems that are designed to detect and
identify active radar emitters in the environment. The radar pulses emitted by multiple …
identify active radar emitters in the environment. The radar pulses emitted by multiple …
Deep contrastive clustering for signal deinterleaving
S Yang, X Zhao, H Liu, C Yang, T Peng… - … on Aerospace and …, 2023 - ieeexplore.ieee.org
In a complex electromagnetic environment, radar signal deinterleaving (RSD) is a
challenging task. In this article, a deep contrastive clustering algorithm (DCCA) is advanced …
challenging task. In this article, a deep contrastive clustering algorithm (DCCA) is advanced …
Deinterleaving RADAR emitters with optimal transport distances
Detection and identification of emitters provide vital information for defensive strategies in
electronic intelligence. Based on a received signal containing pulses from an unknown …
electronic intelligence. Based on a received signal containing pulses from an unknown …
An reconstruction bidirectional recurrent neural network‐based deinterleaving method for known radar signals in open‐set scenarios
H Zheng, K **e, Y Zhu, J Lin… - IET Radar, Sonar & …, 2024 - Wiley Online Library
In electronic warfare, radar signal deinterleaving is a critical task. While many researchers
have applied deep learning and utilised known radar classes to construct interleaved pulse …
have applied deep learning and utilised known radar classes to construct interleaved pulse …
Distributed clustering method based on spatial information
X Dong, Y Liang, J Wang - IEEE Access, 2022 - ieeexplore.ieee.org
Radar pulse deinterleaving is the core part of electronic reconnaissance system, which is
responsible for sorting out the pulses coming from different emitters. In the process of signal …
responsible for sorting out the pulses coming from different emitters. In the process of signal …
Radar signal deinterleaving in electronic warfare systems: a combined approach
Traditional deinterleaving algorithms first cluster the pulses in frequency, pulse width, and
angle of arrival parameter space. Then, they utilize time of arrival analysis techniques. This …
angle of arrival parameter space. Then, they utilize time of arrival analysis techniques. This …