Results 71 to 80 of about 1,270 (180)

Ship HRRP target recognition against decoy jamming based on CNN‐BiLSTM‐SE model

IET Radar, Sonar & Navigation
Due to the thinner resolution range of broadband radar, ship recognition issues arise such that minor fluctuations within the targeted area significantly affect the high‐resolution range profile (HRRP) of ships.
Lingang Wu, Shengliang Hu, Jianghu Xu, Zhong Liu   +3 more
doaj   +1 more source

Dynamic RCS Simulation Using Active Frequency Selective Surface

IET Radar, Sonar &Navigation, Volume 19, Issue 1, January/December 2025.
This paper introduces a target RCS simulation method based on active frequency selective surface (AFSS) echo power modulation, which is both cost‐effective and real‐time. By employing the AFSS echo power modulation model, we define the RCS parameters for the AFSS reflector and establish the theoretical relationship between modulation parameters and RCS
Dejun Feng, Yumeng Fang, Yameng Kong, Junjie Wang, Liwei Chen   +4 more
wiley   +1 more source

Deep Hybrid Fusion Network for Inverse Synthetic Aperture Radar Ship Target Recognition Using Multi-Domain High-Resolution Range Profile Data

Remote Sensing
Most existing target recognition methods based on high-resolution range profiles (HRRPs) use data from only one domain. However, the information contained in HRRP data from different domains is not exactly the same.
Jie Deng, Fulin Su
doaj   +1 more source

Range-Spread Target Detection Networks Using HRRPs

Remote Sensing
Range-spread target (RST) detection is an important issue for high-resolution radar (HRR). Traditional detectors relying on manually designed detection statistics have their performance limitations. Therefore, in this work, two deep learning-based detectors are proposed for RST detection using HRRPs, i.e., an NLS detector and DFCW detector.
Yishan Ye, Zhenmiao Deng, Pingping Pan, Wei He   +3 more
openaire   +2 more sources

Study on radar target recognition based on sparse representation with a federated dictionary

Dianzi Jishu Yingyong, 2019
When high resolution range profiles(HRRP) are used to recognize radar target, few traditional recognition methods analyse the sparseness of HRRP samples.
Duan Peipei, Li Hui, Luo Mingshi
doaj   +1 more source

HRRP Target Recognition Based on Sparse Representation

Journal of Physics: Conference Series, 2019
Abstract When high resolution range profiles(HRRP) are used to recognize radar target, a few traditional recognition methods analyze the sparseness of HRRP samples. In order to overcome the large sample size problem and simplify the recognition procedure, sparse representation is an effective way to compress HRRP samples and extract the ...
Duan Peipei, Zhang Yan
openaire   +1 more source

Radar High-resolution Range Profile Target Recognition Based on Attention Mechanism and Bidirectional Gated Recurrent

Leida xuebao, 2019
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

A Multi-Modal Fusion Algorithm for Space Target Recognition Based on Spatial Attention and Multi-Scale Temporal Network

Aerospace
When fusing inverse synthetic aperture radar (ISAR) images and high-resolution range profile (HRRP), the significant heterogeneity existing between the feature spaces of the two is not adequately considered, resulting in a low accuracy rate of space ...
Xiaoyu Cong, Yubing Han, Cheng Chen, Shichen Shan   +3 more
doaj   +1 more source

Precision Imaging of Frequency Stepped SAR with Frequency Domain Extracted HRRP and Fast Factorized Back Projection Algorithm

International Journal of Antennas and Propagation, 2017
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

Deep Learning for HRRP-based Satellite Recognition

Journal of Physics: Conference Series, 2019
Abstract An approach that employs deep learning technology is presented to recognize satellites based on radar high-resolution range profile (HRRP) data. We focus on extracting effective satellite recognition features in this paper. Thus, a deep learning model is constructed by gated recurrent unit (GRU) neural network and support vector
W Lu, Y S Zhang, Y R Huo, C Y Lin
openaire   +1 more source