Results 141 to 150 of about 372 (177)

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 target recognition based on contraction Transformer

2023
Radar High Resolution Range Profile (HRRP), which can provide target structure information with great potential for target recognition. However, the structural information is not fully exploited by most existing deep learning methods, which focus only on local or sequence information. Furthermore, existing methods equalise target and non-target regions
Siyu Chen, Weibo Xu, Xiaohong Huang
openaire   +1 more source

Bayesian Spatiotemporal Multitask Learning for Radar HRRP Target Recognition

IEEE Transactions on Signal Processing, 2011
A Bayesian dynamic model based on multitask learning (MTL) is developed for radar automatic target recognition (RATR) using high-resolution range profile (HRRP). The aspect-dependent HRRP sequence is modeled using a truncated stick-breaking hidden Markov model (TSB-HMM) with time-evolving transition probabilities, in which the spatial structure across ...
Lan Du 0001, Penghui Wang, Hongwei Liu 0001, Mian Pan, Feng Chen 0013, Zheng Bao 0001   +5 more
openaire   +1 more source

Radar HRRP automatic target recognition: Algorithms and applications

Proceedings of 2011 IEEE CIE International Conference on Radar, 2011
Radar automatic target recognition (RATR) is an important function for modern radar. Target high resolution range profile (HRRP) contains target structure signatures, such as target size, scatterer distribution, etc., thereby radar HRRP target recognition has received intensive attention from the RATR community.
Hongwei Liu, Lan Du, Penghui Wang, null Mian Pan, Zheng Bao   +4 more
openaire   +1 more source

Modified Generalized Discriminant Analysis For Radar HRRP Recognition

2007 International Conference on Microwave and Millimeter Wave Technology, 2007
Generalized discriminant analysis (GDA) is a nonlinear extension of the classical linear discriminant analysis (LDA) via kernel trick. As a feature extraction method, it has been proven successful in many applications such as radar high-range-resolution profiles (HRRP) recognition. However, GDA often suffers from the so-called small sample size problem
Hualin Liu, Wanlin Yang
openaire   +1 more source

Robust Variational Auto-Encoder for Radar HRRP Target Recognition

2017
Traditional deep networks used for radar High-Resolution Range Profile (HRRP) target recognition usually ignore the inherent characteristics of the target, which result in the limited capability to learn effective features for classification task. To address this issue, a novel nonlinear feature learning method, called Robust Variational Auto-Encoder ...
Ying Zhai, Bo Chen 0001, Hao Zhang 0050, Zhengjue Wang   +3 more
openaire   +1 more source

Radar HRRP Target Recognition with Recurrent Convolutional Neural Networks

2018
Conventional radar automatic target recognition (RATR) methods using High-Resolution Range Profile (HRRP) sequences require carefully designed feature extraction techniques and plenty of HRRP waveforms, which result in insufficient recognition rate and limit in real-time recognition. To address these issues a modified end-to-end architecture consisting
Mengqi Shen, Bo Chen 0001
openaire   +1 more source

Multi-to-two-LDA for HRRP radar target recognition

2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2019
High resolution range profile (HRRP) plays an important role in the field of radar automatic target recognition (RATR). In order to overcome the shortcoming of serious degradation in accuracy when processing a multi-target-recognition problem with LDA, this paper proposes a novel method named multi-to-two-LDA (MTTL), which can transform a problem of ...
Lu Yao, Lei Han, Jindong Guo, Tao Shang
openaire   +1 more source

A Compound Statistical Model Based Radar HRRP Target Recognition

2005
In radar HRRP based statistical target recognition, one of the most challenging tasks is how to accurately describe HRRP's statistical characteristics. Based on the scattering center model, range resolution cells are classified, in accordance with the number of predominant scatterers in each cell, into three statistical types.
Lan Du 0001, Hongwei Liu 0001, Zheng Bao 0001, Junying Zhang   +3 more
openaire   +1 more source

Target-Aware Recurrent Attentional Network for Radar HRRP Target Recognition

Signal Processing, 2019
Abstract In this paper, we develop a Target-Aware Recurrent Attentional Network (TARAN) for Radar Automatic Target Recognition (RATR) based on High-Resolution Range Profile (HRRP) to make use of the temporal dependence and find the informative areas in HRRP, since it reflects the distribution of scatterers in target along the range dimension ...
Bin Xu, Bo Chen 0001, Jinwei Wan, Hongwei Liu 0001, Lin Jin   +4 more
openaire   +1 more source