Guest Editorial: Selected Papers From Radar 2023—Dreaming the Radar Future
IET Radar, Sonar &Navigation, Volume 19, Issue 1, January/December 2025.
Brian W.‐H. Ng +3 more
wiley +1 more source
Two-Dimensional Pattern-Coupled Sparse Bayesian Learning via Generalized Approximate Message Passing
, 2015 We consider the problem of recovering two-dimensional (2-D) block-sparse signals with \emph{unknown} cluster patterns. Two-dimensional block-sparse patterns arise naturally in many practical applications such as foreground detection and inverse synthetic
Fang, Jun, Li, Hongbin, Zhang, Lizao
core +1 more source
An improved inverse synthetic aperture radar range alignment method based on maximum contrast
The Journal of Engineering, 2019 Inverse synthetic aperture radar (ISAR) is an important tool for non-cooperative ship imaging, and one key step of ISAR imaging is range alignment. To achieve the range alignment with high precision, efficiency and robustness, an improved ISAR range ...
Yong Li +4 more
doaj +1 more source
ISAR Image formation with a combined Empirical Mode Decomposition and Time-Frequency Representation
, 2015 International audienceIn this paper, a method for Inverse Synthetic Aperture Radar (ISAR) image formation based on the use of the Complex Empirical Mode Decomposition (CEMD) is proposed.
Bay Ahmed , Ahmed Hadj +2 more
core +2 more sources
ISAR imaging Based on the Empirical Mode Decomposition Time-Frequency Representation
, 2016 International audienceThis work proposes an adaptation of the Empirical Mode Decomposition Time-Frequency Distribution (EMD-TFD) to non-analytic complex-valued signals.
Cexus, Jean-Christophe +4 more
core +1 more source
Microlocal ISAR for Low Signal-to-Noise Environments [PDF]
, 2006 The problem of extracting radar target information from multi-aspect high-range-resolution data is examined. We suggest a new non-imaging approach that is based on microlocal analysis, which is a mathematical theory developed to handle highfrequency ...
Borden, Brett, Cheney, Margaret
core
Adaptive Resource Scheduling Algorithm for Multi-Target ISAR Imaging in Radar Systems
Remote SensingInverse synthetic-aperture radar (ISAR) can achieve precise imaging of targets, which enables precise perception of battlefield information, and it has become one of the most important tasks for radar systems.
Huan Yao +4 more
doaj +1 more source
ISAR Imaging of a Rotating Asteroid Irradiated by Pulsar’s Electromagnetic Emission
Cybernetics and Information Technologies, 2019 The aim of the present study is imaging of moving objects, asteroids illuminated by continuous coherent wideband pulsar’s signals. As pulsars are located on more than thousands of light years from Earth, objects crossing pulsars’ emission beams are ...
Lazarov Andon D.
doaj +1 more source
Inverse Synthetic Aperture Radar Imaging Theory and Application [PDF]
, 2011 Inverse Synthetic Aperture Radar (ISAR) is an electromagnetic sensing system that is capable of producing high resolution microwave images of moving targets.
Lopez, Jaime Xavier
core +1 more source
IEEE AccessThis study resolves defocusing artifacts in conventional Range-Doppler (RD) algorithms for Inverse Synthetic Aperture Radar (ISAR) imaging of maneuvering targets by introducing a multi-synchrosqueezing transform (MSST)-based high-resolution imaging ...
Ting Zhao +3 more
doaj +1 more source