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Automatic target recognition based on RCS and angular diversity for multistatic passive radar
Asan important means in low-altitude airspace surveillance, passive radar has been widely
studied. With the increasing complexity of the low-altitude environment, the urgent need for …
studied. With the increasing complexity of the low-altitude environment, the urgent need for …
Deep Learning for Radar Classification
Airfield surveillance radars (ASR) face increased challenge of both detecting and classifying
non-cooperative airborne targets. Drones are smaller, more diverse, and often operate …
non-cooperative airborne targets. Drones are smaller, more diverse, and often operate …
Contrastive time–frequency learning for radar signal sorting
S Mi, H Cheng, Y Zhang - AEU-International Journal of Electronics and …, 2022 - Elsevier
With the development of radar technology, the electromagnetic environment becomes more
and more complex. The acquisition of labeled data is costly, and the existing radar signal …
and more complex. The acquisition of labeled data is costly, and the existing radar signal …
Complex-valued neural networks for radar applications
JA Barrachina - 2022 - theses.hal.science
Radar signal and SAR image processing generally require complex-valued representations
and operations, eg, Fourier, wavelet transforms, Wiener, matched filters, etc. However, the …
and operations, eg, Fourier, wavelet transforms, Wiener, matched filters, etc. However, the …
Feedback from a data center for education at CentraleSupélec engineering school
This paper describes the hardware and software architecture of the Data Center for
Education (DCE) built up at CentraleSupélec as well as our educational objectives. Students …
Education (DCE) built up at CentraleSupélec as well as our educational objectives. Students …
Impact of PolSAR pre-processing and balancing methods on complex-valued neural networks segmentation tasks
In this article, we investigated the semantic segmentation of Polarimetric Synthetic Aperture
Radar (PolSAR) using Complex-Valued Neural Network (CVNN). Although the coherency …
Radar (PolSAR) using Complex-Valued Neural Network (CVNN). Although the coherency …
[PDF][PDF] Automatic target recognition combining angular diversity and time diversity for multistatic passive radar
The radar cross section-based (RCS-based) method is an important research direction in
the field of automatic target recognition (ATR) of passive radars [1–5]. Due to the unknown …
the field of automatic target recognition (ATR) of passive radars [1–5]. Due to the unknown …
Preliminary Study on Bistatic RCS of Measured Targets for Automatic Target Recognition
As a basic attribute of target, radar cross section (RCS) is an important recognition source in
the field of automatic target recognition (ATR) in the low-resolution radars. The correct …
the field of automatic target recognition (ATR) in the low-resolution radars. The correct …
[PDF][PDF] Aircraft Identification Using Machine Learning
M Khumalo, M Muduva, E Tarambiwa, V Musanga… - 2023 - researchgate.net
Positive aircraft identification plays a crucial role in ensuring the security of the airspace, the
safety of the populace, state resources and military establishments. Aircraft identification …
safety of the populace, state resources and military establishments. Aircraft identification …