Results 31 to 40 of about 516 (136)
Compressive sensing approach for high-resolution ISAR image reconstruction and autofocus
The Journal of Engineering, 2019 In this study, a novel autofocus method is presented to achieve high-resolution inverse synthetic aperture radar (ISAR) image reconstruction with limited measurements in the compressive sensing (CS) framework.
Min-Seok Kang, Kyung-Tae Kim
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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
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Sparse aperture wide-angle inverse synthetic aperture radar imaging based on compressive sensing
The Journal of Engineering, 2019 In high-resolution inverse synthetic aperture radar (ISAR) imaging, if the authors enlarge observation angle, range migration would appear and that can cause defocus problem.
Hou Yingni, Wang Xia
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Remote Sensing, 2022 We propose an inverse synthetic aperture radar (ISAR) imaging algorithm for a composite target-ocean scene based on time-domain shooting and bouncing rays (TDSBR) method.
Guangbin Guo +4 more
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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
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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
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A Method for Extracting and Imaging Weak Second‐Harmonic Signals in Harmonic Radar
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.Harmonic radar, as an emerging sensing technology, enables high‐sensitivity target detection and localization in complex environments by exploiting the nonlinear scattering characteristics of targets, such as the harmonic responses of electronic devices. Compared with conventional radar systems, it offers strong clutter suppression because most natural
Minglin He +5 more
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An Improved Backprojection Autofocus Method for Synthetic Aperture Sonar
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.We propose an improved backprojection (BP) autofocus method for synthetic aperture sonar (SAS), which reduces the computational overhead of existing methods using Anderson acceleration (AA) and the sparsity of high‐intensity pixels in imagery. ABSTRACT Autofocus methods effectively compensate for multi‐source phase errors in synthetic aperture radar ...
Shiping Chen +6 more
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IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.This paper presents a multistatic, frequency‐ and polarimetry‐adaptive autofocus algorithm (F‐Pol) for SAR imaging of moving targets undergoing complex, six‐degrees‐of‐freedom (6‐DoF) motion. Building on Localised Threshold Sharpness (LTS), the method exploits agreement across frequency sub‐bands and polarisation channels to improve pulse‐by‐pulse ...
Anmol Rattan, Daniel Andre, Mark Finnis
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RCS computation and data analysis of target base FEKO
Dianzi Jishu Yingyong, 2018 Radar engineers often have special requirement for the RCS data computation and analysis of target. The investigation of target delectability can been obtained by 1-dimensional probability density functions(PDF) and 2-dimensional RCS intensity.
Qin Qin +3 more
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