Results 111 to 120 of about 17,089 (164)

Radar HRRP Recognition using Attentional CNN with Multi-resolution Spectrograms

2019 International Radar Conference (RADAR), 2019
A novel high-resolution range profile (HRRP) target recognition method based on attentional convolutional neural network (CNN) model with multi-resolution spectrograms is proposed. Different from time domain HRRP, the multi-resolution spectrograms record
Jinwei Wan, Bo Chen, Yijun Yuan, Hongwei Liu, Lin Jin   +4 more
semanticscholar   +1 more source

Lightweight CNN for Radar HRRP Recognition Using NAS-Based Pruning and Multi-Knowledge Distillation

2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP)
Deep convolutional neural network (CNN) has been widely studied in radar target high resolution range profile (HRRP) recognition. However, the CNN with deep structure requires high storage and computational capabilities, thus restricting its applications
Zhilong Zhang, Heke Wu, Yinhui Xu, Liang Zhang, Yanhua Wang   +4 more
semanticscholar   +1 more source

Missing Modality Completion for Multi Frequency Radar HRRP Recognition Using GAN

2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP)
High-resolution range profile (HRRP) is one of the commonly used methods in radar automatic target recognition (RATR). Recently, obtaining HRRP under different modalities, such as frequency and polarization, to improve the RATR performance has become an ...
Qiang Zhou, Bingqian Yu, Yuanhao Meng, Xin Zhang, Yang Li, Yanhua Wang, Liang Zhang   +6 more
semanticscholar   +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

Feature-Level Aspect Augmentation Network for Sparse-View Radar HRRP Recognition

IEEE Transactions on Aerospace and Electronic Systems
In high-resolution range profile (HRRP)-based ground target recognition, collecting HRRP data with comprehensive aspect-angle coverage is often impractical.
Qiang Zhou, Yanhua Wang, Xin Zhang, Liang Zhang, Yang Li   +4 more
semanticscholar   +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

Open Set Radar HRRP Recognition Using Confidence through Neural Weight Proximity

2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP)
High-resolution range profiles (HRRP) have become increasingly important in radar automatic target recognition (RATR) due to their ability to capture detailed structural features of targets.
Yichen Liu, Ping-An Liu, Liang Zhang, Yanhua Wang, Zengdi Bao, Yinhui Xu   +5 more
semanticscholar   +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

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