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   Articles with "radar imaging" as a keyword



Broadband, Wide‐Angle, and Versatile Metasurface Illusions with Inverse Synthetic Aperture Radar Imaging

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recommendations! Published in 2025 at "Advanced Science"

DOI: 10.1002/advs.202416172

Abstract: Generation of controllable illusions has raised widespread interest. Over the past few decades, this field has been revolutionized by the emergence of metamaterials and metasurfaces. However, current efforts utilizing single‐layer metasurfaces are limited to simple… read more here.

Keywords: synthetic aperture; aperture radar; radar imaging; inverse synthetic ... See more keywords

MIMO Radar Imaging With Multiple Probing Pulses for 2D Off-Grid Targets via Variational Sparse Bayesian Learning

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3015223

Abstract: Spatial sparsity of the target space has been successfully exploited to provide accurate range-angle images by the methods based on sparse signal reconstruction (SSR) in Multiple-Input Multiple-Output (MIMO) radar imaging applications. The SSR based method… read more here.

Keywords: grid targets; radar imaging; mimo radar; probing pulses ... See more keywords

An Interleaved Broadband Photonic ADC Immune to Channel Mismatches Capable for High-Speed Radar Imaging

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recommendations! Published in 2019 at "IEEE Photonics Journal"

DOI: 10.1109/jphot.2019.2926399

Abstract: A dual channel interleaved broadband subsampling photonic analog-to-digital converter (ADC) immune to channel mismatches capable for high-speed radar imaging is presented. Through modeling as a combination of photonic subsampling front-end and interleaved Nyquist sampling electronic… read more here.

Keywords: broadband; radar imaging; capable high; channel mismatches ... See more keywords

Analysis of U-NET Super-Resolving Capabilities in Radar Imaging

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recommendations! Published in 2025 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2024.3443468

Abstract: This article investigates the super-resolving power of U-NET when applied to a radar imaging problem. In particular, we consider a 2-D free-space scenario probed by a multimonostatic/multifrequency measurement configuration and formulate the imaging problem as… read more here.

Keywords: analysis net; net super; resolving capabilities; capabilities radar ... See more keywords

Passive Radar Imaging by Filling Gaps Between ISDB Digital TV Channels

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recommendations! Published in 2019 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2019.2891114

Abstract: Integrated Services Digital Broadcasting-Terrestrial/Satellite (ISDB-T/S) signal, used in Japan as the digital television (TV) broadcasting standard, is exploited in this paper for passive bistatic radar two-dimensional imaging of stationary targets. A multifunctional system is developed… read more here.

Keywords: imaging filling; radar imaging; passive radar; filling gaps ... See more keywords

Fine-Resolution Spaceborne Radar Imaging of Space Targets With Parametric Second-Order Scaling and High-Order Spatial-Variant Phase Compensation

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recommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3582596

Abstract: Spaceborne radar imaging is the key means to obtain the fine-resolution radar image of space targets. However, the nonuniform relative rotational motion caused by the high-speed orbital state leads to the degradation of the radar… read more here.

Keywords: radar imaging; spaceborne radar; radar; fine resolution ... See more keywords
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A Perturbation-Based Approach for Compressed Sensing Radar Imaging

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recommendations! Published in 2017 at "IEEE Antennas and Wireless Propagation Letters"

DOI: 10.1109/lawp.2016.2557619

Abstract: This letter is concerned with two-dimensional radar imaging via compressed sensing. First, a perturbation-based sparse representation dictionary is established to alleviate the basis mismatch effect, reduce the memory requirement, and accelerate the imaging process. Then,… read more here.

Keywords: compressed sensing; perturbation based; radar imaging; based approach ... See more keywords

Enhanced Radar Imaging Using a Complex-Valued Convolutional Neural Network

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recommendations! Published in 2019 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2018.2866567

Abstract: Convolutional neural networks (CNN) have successfully been employed to tackle several remote sensing tasks such as image classification and show better performance than previous techniques. For the radar imaging community, a natural question is: Can… read more here.

Keywords: enhanced radar; radar imaging; complex valued; imaging using ... See more keywords

Spatial Sampling in Monostatic Radar Imaging

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2020.3028938

Abstract: This letter deals with microwave imaging via a migration-like inversion method. The aim is the determination of a spatial sampling scheme which allows to collect as low as possible spatial measurements and to preserve the… read more here.

Keywords: sampling monostatic; spatial sampling; monostatic radar; radar imaging ... See more keywords

Human Posture Reconstruction for Through-the-Wall Radar Imaging Using Convolutional Neural Networks

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2021.3073073

Abstract: Low imaging spatial resolution hinders through-the-wall radar imaging (TWRI) from reconstructing complete human postures. This letter mainly discusses a convolutional neural network (CNN)-based human posture reconstruction method for TWRI. The training process follows a supervision-prediction… read more here.

Keywords: posture reconstruction; wall radar; radar imaging; convolutional neural ... See more keywords

Superresolution Radar Imaging via Peak Search and Compressed Sensing

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3184067

Abstract: Compressed sensing (CS)-based imaging technique is considered to be an effective solution for high-resolution radar imaging due to the sparse distribution of the scatterers. Nevertheless, the unoptimized CS-based synthetic aperture radar (SAR) or inverse SAR… read more here.

Keywords: radar imaging; superresolution radar; compressed sensing; radar ... See more keywords