Results 31 to 40 of about 254 (127)
Recognizing the HRRP by Combining CNN and BiRNN With Attention Mechanism
In this paper, we integrate the advantages of convolutional neural network (CNN) and bidirectional recurrent neural network (BiRNN) with attention mechanism, and propose a CNN-BiRNN based method to recognize the individual high resolution range profile ...
Jinwei Wan +5 more
doaj +1 more source
Two-Stream Deep Fusion Network Based on VAE and CNN for Synthetic Aperture Radar Target Recognition
Usually radar target recognition methods only use a single type of high-resolution radar signal, e.g., high-resolution range profile (HRRP) or synthetic aperture radar (SAR) images. In fact, in the SAR imaging procedure, we can simultaneously obtain both
Lan Du +5 more
doaj +1 more source
Orthogonal waveform design is of great significance for simultaneous polarimetric high-resolution range profile (HRRP) reconstruction. In this paper, a novel waveform called a random orthogonal frequency division multiplexing (R-OFDM) pair is proposed ...
Qihua Wu +5 more
doaj +1 more source
A diversely time‐modulated metasurface enables broadband co‐modulation of fully polarimetric radar cross section and high‐resolution range profiles. By integrating anti‐parallel PIN diodes and programmable temporal coding, the platform dynamically redistributes scattering among HH/VV and HV/VH channels, generating tunable target weakening, false ...
Hantao Xu +9 more
wiley +1 more source
A Robust Algorithm for Simulation‐Measured Cross‐Domain Few‐Shot HRRP Target Recognition
This paper proposes CROF‐Net, a robust cross‐domain few‐shot HRRP target recognition algorithm to address the challenges of scarce labeled measured samples and simulation‐measured domain shift. The method adopts low‐order statistical moment alignment, scattering peak‐aware feature extraction, and orthogonally regularized multi‐subcenter metric ...
Xiaoyu Xu +3 more
wiley +1 more source
To address the issues in radar automatic target recognition (RATR) based on high‐resolution range profiles (HRRP)—specifically, the inability of closed‐set methods to handle unknown categories and the limitation of conventional open‐set methods that can only reject unknown categories without further subdivision—this paper proposes the MHA–CoST open‐set
Bowen Bai +3 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
Novel frequency domain extracted method (FDEM) to obtain high range resolution profile (HRRP) for frequency stepped synthetic aperture radar (SAR) is proposed in this paper, and the mathematical principle and formulas of this new HRRP obtaining idea ...
Can-bin Yin, Da Ran
doaj +1 more source
Characterisation and Classification of Resident Space Objects Using Radar Networks
This paper describes a simulated environment for generating Inverse Synthetic Aperture Radar (ISAR) images and interferometric point clouds using a three‐receiver radar configuration, along with the creation of extensive datasets to train and evaluate deep learning models under varying Signal‐to‐Noise Ratio (SNR) conditions. Findings show that modified
Manjunath Thindlu Rudrappa +2 more
wiley +1 more source
To address the problem of radar High-Resolution Range Profile (HRRP) target recognition, traditional methods only consider the envelope information of the sample and ignore the temporal correlation between the range cells.
LIU Jiaqi, CHEN Bo, JIE Xi
doaj +1 more source

