Results 41 to 50 of about 431 (155)
Resolution Analysis of Microwave Radar Coincidence Imaging for Multiple Imaging Points
IET Microwaves, Antennas &Propagation, Volume 20, Issue 1, January/December 2026.In this paper, we propose an Eigen Subspace Characterisation method for analysing the azimuth resolution of an MRCI system, particularly in scenarios involving multiple imaging points within a coherent area. The ESC method is implemented by first constructing the eigen subspace from the reference signal matrix of the MRCI system using the Singular ...
Die Li +8 more
wiley +1 more source
Research of InISAR imaging based on joint translational compensation
The Journal of Engineering, 2019 In order to solve the problem that conventional inverse synthetic aperture radar three-dimensional (InISAR 3D) imaging methods need too much computation and so many restrictions in image registration step, this study proposes an InISAR 3D imaging ...
Kai Zhang, Yingni Hou, Lin Jin
doaj +1 more source
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.Moving targets often appear defocused and displaced in SAR imagery, complicating detection and recognition—especially when displaced into cluttered regions, where signal‐to‐background ratio is reduced. This work presents a multistatic SAR framework that extracts moving target signatures and reconstructs focused images, providing new insights into the ...
Francis Watson +2 more
wiley +1 more source
ISAR Imaging of Ship Targets Based on an Integrated Cubic Phase Bilinear Autocorrelation Function
Sensors, 2017 For inverse synthetic aperture radar (ISAR) imaging of a ship target moving with ocean waves, the image constructed with the standard range-Doppler (RD) technique is blurred and the range-instantaneous-Doppler (RID) technique has to be used to improve ...
Jibin Zheng +3 more
doaj +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
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.In this paper, we first establish the dual‐band airborne radar wideband echo signal model and propose a space‐time‐frequency adaptive processing method based on it. Firstly, in the passive mode, the poles of the dual band are estimated by the matrix pencil method, and the incoherent components are estimated through the phase relationship between the ...
Ming Hou +6 more
wiley +1 more source
A Metalearning-based Sparse Aperture ISAR Imaging Method
Leida xuebao, 2023 Sparse Aperture-Inverse Synthetic Aperture Radar (SA-ISAR) imaging methods aim to reconstruct high-quality ISAR images from the corresponding incomplete ISAR echoes.
Jingyuan XIA +5 more
doaj +1 more source
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.In this article, a novel rotational motion estimation method via analytical solution is proposed and has been successfully applied to the cross‐range scaling. The proposed method can achieve high estimation accuracy without relying on iterative search procedures, which typically occur in existing methods and often result in high computational cost or ...
Rui Cao, Pingping Lu, Yong Wang
wiley +1 more source
Performance Analysis on ISAR Imaging of Space Targets
Leida xuebao, 2017 Usually, in traditional Inverse Synthetic Aperture Radar (ISAR) systems design and mode selection for space satellite targets, coherent integration gain in azimuth direction hardly can be analyzed, which depends on target’s motion.
Zhou Yejian +3 more
doaj +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