Image segmentation for radar signal deinterleaving using deep learning
MA Nuhoglu, YK Alp, MEC Ulusoy… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …
Blind source separation of radar signals in time domain using deep learning
S Hinderer - 2022 23rd International Radar Symposium (IRS), 2022 - ieeexplore.ieee.org
Identification and further analysis of radar emitters in a contested environment requires
detection and separation of incoming signals. If they arrive from the same direction and at …
detection and separation of incoming signals. If they arrive from the same direction and at …
Evaluation of a two-step clustering method for radar pulse deinterleaving
L Lesieur, JM Le Caillec, A Khenchaf… - 2023 IEEE Conference …, 2023 - ieeexplore.ieee.org
In electronic warfare, deinterleaving is the task which sorts radar pulses in order to separate
radar waveforms, without prior knowledge. This paper intends to evaluate two versions of a …
radar waveforms, without prior knowledge. This paper intends to evaluate two versions of a …
Unsupervised time series pattern recognition for purpose of electronic surveillance
P Horky, A Prokeš, P Hubáček - 2022 24th International …, 2022 - ieeexplore.ieee.org
Signal classification is one of the main tasks of electronic surveillance. This paper focuses
on extracting patterns from time series and testing robustness of pre-trained Neural Network …
on extracting patterns from time series and testing robustness of pre-trained Neural Network …