VGM-RNN: HRRP Sequence Extrapolation and Recognition Based on a Novel Optimized RNN
High-Resolution Range Profile (HRRP) sequence has attracted academic attentions in the field of radar automatic target recognition (RATR) owing to its abundant spatial-temporal correlation between adjacent samples. However, it is difficult in the working
Yifan Zhang +3 more
doaj +1 more source
Practical classification of different moving targets using automotive radar and deep neural networks [PDF]
In this work, the authors present results for classification of different classes of targets (car, single and multiple people, bicycle) using automotive radar data and different neural networks.
Angelov, Aleksandar +3 more
core +1 more source
Enhancing SEM signature via bistatic radar configuration of small bisectors
The paper assesses the feasibility of finding bistatic directions of minimum bisectors subject to resonant frequency and polarisation diversities to improve the robustness of the resonance signature when extracted from the late time radar response.
Faisal Aldhubaib
doaj +1 more source
Performance Analysis of Classification Algorithms for Activity Recognition using Micro-Doppler Feature [PDF]
Classification of different human activities using micro-Doppler data and features is considered in this study, focusing on the distinction between walking and running.
Le Kernec, Julien, Lin, Yier
core +1 more source
Automatic target recognition using multi-diversity radar
The information content of radar target signatures is a key aspect for automatic target recognition. The role of high-range resolution is investigated as a function of the illuminating wavelength. The classification performance is evaluated using (i) full-scale 2D inverse synthetic aperture radar images obtained from a stepped-frequency chirp ...
M. Vespe, C.J. Baker, H.D. Griffiths
openaire +1 more source
Radar shadow and superresolution features for automatic recognition of MSTAR targets [PDF]
Automatic target recognition from high range resolution radar profiles remains an important and challenging problem. In this paper, we present a novel feature set for this task that combines a noise-robust superresolution characterisation of the target scattering centres derived using the MUSIC algorithm with a representation of the target's radar ...
null Jingjing Cui +2 more
openaire +1 more source
Measurements and analysis of multistatic and multimodal micro-Doppler signatures for automatic target classification [PDF]
The purpose of this paper is to present an experimental trial carried out at the Defence Academy of the United Kingdom to measure simultaneous multistatic and multimodal micro-Doppler signatures of various targets, including humans and flying UAVs ...
Balleri, Alessio +2 more
core +1 more source
Soft Segmented Randomization: Enhancing Domain Generalization in SAR ATR for Synthetic-to-Measured
Synthetic aperture radar technology is crucial for high-resolution imaging under various conditions; however, the acquisition of real-world synthetic aperture radar data for deep learning-based automatic target recognition remains challenging due to high
Minjun Kim +7 more
doaj +1 more source
The frequency of terahertz radar ranges from 0.1 THz to 10 THz, which is higher than that of microwaves. Multi-modal signals, including high-resolution range profile (HRRP) and Doppler signatures, can be acquired by the terahertz radar system.
Zhi Zhou, Zongjie Cao, Yiming Pi
doaj +1 more source
Radar shadow detection in SAR images using DEM and projections
Synthetic aperture radar (SAR) images are widely used in target recognition tasks nowadays. In this letter, we propose an automatic approach for radar shadow detection and extraction from SAR images utilizing geometric projections along with the digital ...
Haddad, O., Prasath, V. B. S.
core +2 more sources

