Results 11 to 20 of about 17,089 (164)
IET Radar, Sonar &Navigation, Volume 16, Issue 12, Page 1997-2016, December 2022., 2022 Abstract Convolution neural networks (CNNs) represent one of the workhorses of artificial intelligence applications. As a typical artificial intelligence application, a high‐resolution range profile (HRRP) target recognition method based on CNNs has aroused a lot of research interest. Most CNNs use a relatively small and single‐scale convolution kernel
Qian Xiang +5 more
wiley +1 more source
Convolutional neural networks for radar HRRP target recognition and rejection [PDF]
EURASIP Journal on Advances in Signal Processing, 2019 Abstract Robust and efficient feature extraction is critical for high-resolution range profile (HRRP)-based radar automatic target recognition (RATR). In order to explore the correlation between range cells and extract the structured discriminative features in HRRP, in this paper, we take advantage of the attractive properties of convolutional neural ...
Jinwei Wan +4 more
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A method for transforming 2D imaging features with the AFSS‐loaded rotating Luneberg lens reflector
IET Microwaves, Antennas &Propagation, Volume 16, Issue 14, Page 860-868, November 2022., 2022 Abstract The micro‐motion target can perform micro‐Doppler modulation on the electromagnetic wave due to motion components in different directions, leading to the defocus effect of the target imaging feature along the azimuth direction. This phenomenon has been widely concerned and investigated in the field of target recognition and anti‐recognition ...
Yong Xu +3 more
wiley +1 more source
Open Set Radar HRRP Recognition Based on Random Forest and Extreme Value Theory
Radar, 2018 Most of the progresses achieved in radar high range resolution profile (HRRP) recognition rely on the closed set condition, where the test sample is from a known class.
Yanhua Wang +4 more
semanticscholar +1 more source
NONLINEAR SUBPROFILE SPACE FOR RADAR HRRP RECOGNITION
Progress In Electromagnetics Research Letters, 2012 In this paper, a novel approach, namely nonlinear subprofile space (NSS), is proposed for radar target recognition using high-resolution range profile (HRRP). First, the HRRP samples are mapped into a high-dimensional feature space using nonlinear mapping.
Daiying Zhou +2 more
openaire +1 more source
A Robust Algorithm for Simulation‐Measured Cross‐Domain Few‐Shot HRRP Target Recognition
Electronics Letters, Volume 62, Issue 1, January/December 2026.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
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.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
Characterisation and Classification of Resident Space Objects Using Radar Networks
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.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
Intelligent radar HRRP target recognition based on CNN-BERT model
EURASIP Journal on Advances in Signal Processing, 2022 AbstractStable and reliable feature extraction is crucial for radar high-resolution range profile (HRRP) target recognition. Owing to the complex structure of HRRP data, existing feature extraction methods fail to achieve satisfactory performance. This study proposes a new deep learning model named convolutional neural network–bidirectional encoder ...
Penghui Wang +4 more
openaire +2 more sources
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.This article proposes a method that a single radar was used for the first time to estimate the micromotion parameters and geometric information of a precession cone‐cylinder target with unknown precession angle by utilising the relationship between the curves of each scattering point in high‐resolution range profile (HRRP) and time–frequency diagram ...
Fu‐Long Xu +4 more
wiley +1 more source