Results 41 to 50 of about 372 (177)
Flexible blanket synthetic aperture radar jamming using joint frequency and phase modulation
In this study, a flexible blanket jamming method against SAR is proposed using joint frequency and phase modulation. The proposed method can form two‐dimensional square‐shaped blanket sidelobes in the SAR image by the coded phase modulation in both fast and slow time domain.
Qihua Wu +5 more
wiley +1 more source
A new 3D reconstruction method for stable targets from sequential ISAR images is proposed in this paper. Firstly, the inverse synthetic aperture radar (ISAR) images are preprocessed with the CLEAN algorithm. The maximum between‐cluster variance method (OTSU) is applied to extract feature points from the processed images.
Yu Wang +4 more
wiley +1 more source
Radar High-Resolution Range Profile Target Recognition by the Dual Parallel Sequence Network Model
Using traditional neural network algorithms to adapt to high-resolution range profile (HRRP) target recognition is a complex problem in the current radar target recognition field. Under the premise of in-depth analysis of the long short-term memory (LSTM)
Jizhou Wu, Hongmin Zhang, Xuanhao Gao
doaj +1 more source
Abstract A multi‐function radar is designed to perform disparate functions, such as surveillance, tracking, fire control, amongst others, within a limited resource (time, frequency, and energy) budget. A radar resource management (RRM) module within a radar system makes decisions on prioritisation, parameter selection, and scheduling of associated ...
Umair Sajid Hashmi +4 more
wiley +1 more source
End-to-End Radar HRRP Target Recognition Based on Integrated Denoising and Recognition Network
For high-resolution range profile (HRRP) radar target recognition in a low signal-to-noise ratio (SNR) scenario, traditional methods frequently perform denoising and recognition separately.
Li Wang, Xueru Bai, Xiaodan Liu
core +1 more source
A synthetic aperture radar (SAR) automatic target recognition (ATR) method is developed based on the two‐dimensional variational mode decomposition (2D‐VMD). 2D‐VMD decomposes original SAR images into multiscale components, which depict the time‐frequency properties of the targets.
Wenbo Weng, Dongpo Xu
wiley +1 more source
Abstract Convolution neural networks (CNNs) represent one of the workhorses of artificial intelligence applications. As a typical artificial intelligence application, a high‐resolution range profile (HRRP) target recognition method based on CNNs has aroused a lot of research interest. Most CNNs use a relatively small and single‐scale convolution kernel
Qian Xiang +5 more
wiley +1 more source
A method for transforming 2D imaging features with the AFSS‐loaded rotating Luneberg lens reflector
Abstract The micro‐motion target can perform micro‐Doppler modulation on the electromagnetic wave due to motion components in different directions, leading to the defocus effect of the target imaging feature along the azimuth direction. This phenomenon has been widely concerned and investigated in the field of target recognition and anti‐recognition ...
Yong Xu +3 more
wiley +1 more source
Radar Target Recognition by Convolutional Capsule Networks Based on High-Resolution Range Profile
Automatic target recognition (ATR) is of increasing importance for the modern radar system, where the high-resolution range profile (HRRP) is essential.
Xianwen Zhang +3 more
doaj +1 more source
Coherent processing for randomized stepped‐frequency radar in multi‐target scenario
Abstract Randomized stepped‐frequency (RSF) radar has the potential of realizing joint high‐resolution range‐Doppler estimation. However, estimating multiple targets' two‐dimensional parameters at high efficiency based on RSF waveforms is still a difficult issue.
Shuai Liu +4 more
wiley +1 more source

