Results 21 to 30 of about 649 (174)
Attention-Based Recurrent Temporal Restricted Boltzmann Machine for Radar High Resolution Range Profile Sequence Recognition [PDF]
The High Resolution Range Profile (HRRP) recognition has attracted great concern in the field of Radar Automatic Target Recognition (RATR). However, traditional HRRP recognition methods failed to model high dimensional sequential data efficiently and ...
Yifan Zhang +4 more
doaj +2 more sources
Intelligent radar HRRP target recognition based on CNN-BERT model
Stable and reliable feature extraction is crucial for radar high-resolution range profile (HRRP) target recognition. Owing to the complex structure of HRRP data, existing feature extraction methods fail to achieve satisfactory performance.
Penghui Wang +4 more
doaj +1 more source
A Target Signature Synthesis Program [PDF]
This thesis presents the design of a software program and digital system to synthesize target return signals for Electronic Warfare (EW) applications. The synthesized target echo returns are used to counter high resolution radar systems.
Patel, Milan
core +2 more sources
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
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
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
Multi‐subband fusion algorithm based on autoencoder
Abstract A novel algorithm for multi‐subband signal fusion achieves performance superior to traditional all‐pole model, matrix pencil algorithm and deep‐neural‐network (Deep neural network (DNN)). The method uses a deep‐learning autoencoder more fully described as a multi‐subband fusion autoencoder (MSFAE). This autoencoder comprises two parts: a multi‐
Yilin Jiang +4 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

