Results 31 to 40 of about 360 (149)

MSDP-Net: A Multi-Scale Domain Perception Network for HRRP Target Recognition

Remote Sensing
High-resolution range profile (HRRP) recognition serves as a foundational task in radar automatic target recognition (RATR), enabling robust classification under all-day and all-weather conditions.
Hongxu Li, Xiaodi Li, Zihan Xu, Xinfei Jin, Fulin Su   +4 more
doaj   +2 more sources

Flexible blanket synthetic aperture radar jamming using joint frequency and phase modulation

IET Radar, Sonar &Navigation, Volume 17, Issue 7, Page 1129-1141, July 2023., 2023
In this study, a flexible blanket jamming method against SAR is proposed using joint frequency and phase modulation. The proposed method can form two‐dimensional square‐shaped blanket sidelobes in the SAR image by the coded phase modulation in both fast and slow time domain.
Qihua Wu, Xiaobin Liu, Zhiming Xu, Feng Zhao, Zhaoyu Gu, Shunping Xiao   +5 more
wiley   +1 more source

Three‐dimensional point cloud reconstruction of inverse synthetic aperture radar image sequences based on back projection and iterative closest point fusion

IET Radar, Sonar &Navigation, Volume 17, Issue 3, Page 503-521, March 2023., 2023
A new 3D reconstruction method for stable targets from sequential ISAR images is proposed in this paper. Firstly, the inverse synthetic aperture radar (ISAR) images are preprocessed with the CLEAN algorithm. The maximum between‐cluster variance method (OTSU) is applied to extract feature points from the processed images.
Yu Wang, Shuai Li, Tingting He, Biao Tian, Zengping Chen   +4 more
wiley   +1 more source

Artificial intelligence meets radar resource management: A comprehensive background and literature review

IET Radar, Sonar &Navigation, Volume 17, Issue 2, Page 153-178, February 2023., 2023
Abstract A multi‐function radar is designed to perform disparate functions, such as surveillance, tracking, fire control, amongst others, within a limited resource (time, frequency, and energy) budget. A radar resource management (RRM) module within a radar system makes decisions on prioritisation, parameter selection, and scheduling of associated ...
Umair Sajid Hashmi, Sunila Akbar, Raviraj Adve, Peter W. Moo, Jack Ding   +4 more
wiley   +1 more source

Multitask Sparse Representation of Two‐Dimensional Variational Mode Decomposition Components for SAR Target Recognition

Scientific Programming, Volume 2023, Issue 1, 2023., 2023
A synthetic aperture radar (SAR) automatic target recognition (ATR) method is developed based on the two‐dimensional variational mode decomposition (2D‐VMD). 2D‐VMD decomposes original SAR images into multiscale components, which depict the time‐frequency properties of the targets.
Wenbo Weng, Dongpo Xu
wiley   +1 more source

Parameter Estimation of Micro-Motion Targets for High-Resolution-Range Radar Using Online Measured Reference. [PDF]

Sensors (Basel), 2018
Micro-motion dynamics produce Micro-range (m-R) signatures which are important features for target classification and recognition, provided that the range resolution of radar signal is high enough.
Xing Y, You P, Yong S.
europepmc   +2 more sources

Multi‐scale group‐fusion convolutional neural network for high‐resolution range profile target recognition

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, Xiaodan Wang, Jie Lai, Yafei Song, Rui Li, Lei Lei   +5 more
wiley   +1 more source

Multi‐subband fusion algorithm based on autoencoder

IET Signal Processing, Volume 16, Issue 9, Page 1071-1084, December 2022., 2022
Abstract A novel algorithm for multi‐subband signal fusion achieves performance superior to traditional all‐pole model, matrix pencil algorithm and deep‐neural‐network (Deep neural network (DNN)). The method uses a deep‐learning autoencoder more fully described as a multi‐subband fusion autoencoder (MSFAE). This autoencoder comprises two parts: a multi‐
Yilin Jiang, Liting Zhang, Li Li, Jinxin Li, Yaozu Yang   +4 more
wiley   +1 more source

A Novel Radar HRRP Recognition Method with Accelerated T-Distributed Stochastic Neighbor Embedding and Density-Based Clustering. [PDF]

Sensors (Basel), 2019
High-resolution range profile (HRRP) has attracted intensive attention from radar community because it is easy to acquire and analyze. However, most of the conventional algorithms require the prior information of targets, and they cannot process a large ...
Wu H, Dai D, Wang X.
europepmc   +2 more sources

Geometrical Structure Classification of Target HRRP Scattering Centers Based on Dual Polarimetric $H/\alpha$ Features

IEEE Access, 2019
Polarimetric high resolution range profile (HRRP) contains the geometrical structural information along radar line-of-sight and has shown great potentials in target recognition. In existing researches, H/α decomposition has been applied to exploit
Teng Long, Liang Zhang, Yang Li, Yanhua Wang   +3 more
doaj   +1 more source