Results 101 to 110 of about 17,089 (164)

HRRP recognition in radar sensor network

Ad Hoc Networks, 2017
Abstract In this paper, several high-resolution range profile (HRRP) recognition approaches in radar sensor network (RSN) are investigated. First, we study HRRP target recognition in a radar. A decision rule based on the minimum resistor-average (MRA) distance criterion is established for HRRP sequence recognition.
Chengchen Mao, Jing Liang 0002
openaire   +1 more source

Adaptive statistical model for radar HRRP recognition

IET Conference Publications, 2009
Radar automatic target recognition (RATR) should have a robust recognition performance in different noisy conditions. Most of the algorithms in RATR are based on high signal-to-noise (SNR) condition, not consider the recognition performance in low SNR.
Q.Y. Hou, H.W. Liu, F. Chen, Z. Bao
openaire   +1 more source

A spatiotemporal model for radar HRRP sequence recognition

2010 IEEE Radar Conference, 2010
A temporal factor analysis (TFA) model which can describe both the spatial structure and temporal dependency of high range resolution profiles (HRRP) has been proposed for radar HRRP sequence recognition. Variational Bayes method and Bayesian classifier are adopted for model learning and classification task, respectively. The favorable results based on
Penghui Wang, Lan Du, Hongwei Liu
openaire   +1 more source

A Prior-Knowledge-Guided Neural Network Based on Supervised Contrastive Learning for Radar HRRP Recognition

IEEE Transactions on Aerospace and Electronic Systems
Radar automatic target recognition (RATR) based on high-resolution range profiles (HRRPs) has received intensive attention in recent years. The data-driven HRRP recognition methods based on neural networks have achieved outstanding performance with a ...
Qi Liu, Xinyu Zhang, Yongxiang Liu
semanticscholar   +1 more source

PFDE-DCN: A Lightweight Class Incremental Learning Method for Radar HRRP Recognition

IEEE Sensors Journal
Deep neural networks have been widely used in the field of high-resolution range profile (HRRP) radar automatic target recognition (RATR) and have achieved promising results.
Zilin Li, Jidai Fu, Wentao Li, Shuai Li, Biao Tian, Shiyou Xu   +5 more
semanticscholar   +1 more source

Robust Radar HRRP Recognition under Non-uniform Jamming Based on Complex-valued Frequency Attention Network

International Conference on Signal Processing Systems
Complex electromagnetic environments, often containing multiple jammers with different jamming patterns, produce non-uniform jamming power across the frequency spectrum. This spectral non-uniformity directly induces severe distortion in the target’s high
Yanhao Wang, Lei Wang, Jie Wang, Yimin Liu   +3 more
semanticscholar   +1 more source

Polarization Radar HRRP Recognition Based on Kernel Methods

2009
Although the multi-polarized high resolution range profiles (HRRP) include more target information than single-polarized HRRP, the recognition becomes more difficult because of the huge data and the complex data distribution. Kernel methods based on the multi-polarized HRRPs are proposed in this paper.
Liya Li, Hongwei Liu 0001, Bo Jiu, Shunjun Wu   +3 more
openaire   +1 more source

Returns Acquiring and HRRP Imaging for Radar Ship Target Recognition

2011 Second International Conference on Digital Manufacturing & Automation, 2011
Target recognition is one of the must trends of the sea surveillance radar, and the accuracy of target recognition is dependent on the radar's acquiring capabiLity of target electromagnetic signature. Firstly, according to the low-resolution pulse mode of the sea surveillance radar, this paper studies a new technique of single-channel hard sampLing and
Lefeng Zhang, Xiaoyong Du 0002, Weidong Hu   +2 more
openaire   +1 more source

Radar HRRP Recognition Model Based on Pyramid Large Kernel Convolutional Attention and Stacked Transformer Encoders

2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP)
Facing the challenge of radar high-resolution range profiles (HRRP) target recognition tasks with many target categories and limited training samples, existing radar HRRP target recognition models struggle to effectively capture and delineate the ...
Tianze Ying, Bo Zhang, Qining Shan, Jiaxin Chen, Hongyan Wang, Mian Pan   +5 more
semanticscholar   +1 more source

Application of a Convolutional Autoencoder to Half Space Radar Hrrp Recognition

International Conference on Wavelet Analysis and Pattern Recognition, 2018
A Winner- Take-All convolutional autoencoder is applied to improve the performance on the half space radar high resolution range profile(HRRP) target recognition.
Shisen Yu, Y. Xie
semanticscholar   +1 more source