Nonâcooperative target recognition in multistatic radar systems [PDF]
IET Radar, Sonar & Navigation, 2014 The ability to recognise quickly and reliably nonâcooperative targets is a primary issue in modern radar systems. The use of multistatic radars has already been demonstrated to improve sensibly the recognition capacity of a radar system, through the exploitation of its inherent spatial diversity, given by the presence of multiple observation channels ...
STINCO, PIETRO +3 more
openaire +3 more sources
Modern Synergetic Neural Network for Synthetic Aperture Radar Target Recognition. [PDF]
Sensors (Basel), 2023 Feature extraction is an important process for the automatic recognition of synthetic aperture radar targets, but the rising complexity of the recognition network means that the features are abstractly implied in the network parameters and the ...
Wang Z, Li H, Ma L.
europepmc +2 more sources
A Method for Few-Shot Radar Target Recognition Based on Multimodal Feature Fusion. [PDF]
Sensors (Basel)Enhancing generalization capabilities and robustness in scenarios with limited sample sizes, while simultaneously decreasing reliance on extensive and high-quality datasets, represents a significant area of inquiry within the domain of radar target ...
Zhou Y, Li Y, Zhu W.
europepmc +2 more sources
Two-Dimensional Scattering Center Estimation for Radar Target Recognition Based on Multiple High-Resolution Range Profiles. [PDF]
Sensors (Basel)A new estimation strategy on locations of two-dimensional target scattering centers for radar target recognition is developed by using multiple high-resolution range profiles (HRRPs).
Lee KI, Kim JH, Chung YS.
europepmc +2 more sources
TDP-SAR: Task-Driven Pruning Method for Synthetic Aperture Radar Target Recognition Convolutional Neural Network Model. [PDF]
Sensors (Basel)Synthetic aperture radar (SAR) target recognition plays a crucial role in SAR image interpretation. While deep learning has become the predominant approach for SAR target recognition, existing methods face practical deployment challenges due to excessive
Zheng T, Wu Q, Yu C.
europepmc +2 more sources
Micro-Doppler based Target Recognition with Radars: A Review [PDF]
IEEE Sensors Journal, 2021 This is a review article discussing the progress in using micro-doppler based features for target classification.
Ali Hanif +3 more
openaire +2 more sources
Using Polarization-Diverse Wave-Coefficients for Aerospace Target Recognition
IEEE Access, 2020 Wave-coefficients (WCs) based target recognition can be theoretically applied to any a frequency range, with increased sensitivity to aspect angle at higher frequencies.
Xiaomin Jiang +3 more
doaj +1 more source
RPREC: A Radar Plot Recognition Algorithm Based on Adaptive Evidence Classification
Applied Sciences, 2023 When radar receives target echoes to form plots, it is inevitably affected by clutter, which brings a lot of imprecise and uncertain information to target recognition.
Rui Yang, Yingbo Zhao, Yuan Shi
doaj +1 more source
A 3D U-Net Based on a Vision Transformer for Radar Semantic Segmentation
Sensors, 2023 Radar data can be presented in various forms, unlike visible data. In the field of radar target recognition, most current work involves point cloud data due to computing limitations, but this form of data lacks useful information.
Tongrui Zhang, Yunsheng Fan
doaj +1 more source
Developments in target micro-doppler signatures analysis: radar imaging, ultrasound and through-the-wall radar [PDF]
, 2013 Target motions, other than the main bulk translation of the target, induce Doppler modulations around the main Doppler shift that form what is commonly called a target micro-Doppler signature.
Soraghan, J. J. +5 more
core +1 more source