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Electronics
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Microwave Imaging and Applications
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Microwave Imaging and Applications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: 15 May 2025 | Viewed by 3544

Special Issue Editors

Dr. Biao Tian

E-Mail Website
Guest Editor
College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China
Interests: inverse synthetic aperture radar (ISAR) imaging; radar waveform design and optimization; radar automatic target recognition
Dr. Wei Wang

E-Mail Website
Guest Editor
College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China
Interests: SAR image processing; radar automatic target recognition; machine learning

Special Issue Information

Dear Colleagues,

Microwave imaging is an all-day, all-weather imaging technique that uses actively radiated electromagnetic waves as information carriers. Microwave imaging techniques, such as Synthetic Aperture Radar (SAR) and Inverse Synthetic Aperture Radar (ISAR), can effectively enhance the radar's ability to classify and recognize targets.

The objective of this Special Issue is to explore recent advances that address fundamental and practical challenges related to microwave imaging, target recognition, and other applications. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • New system/new concept on SAR imaging;
  • New system/new concept on ISAR imaging;
  • 3D reconstruction of radar images and attitude estimation;
  • Feature extraction of radar scattering characteristics;
  • Radar image interpretation;
  • HRRP recognition;
  • SAR target recognition;
  • ISAR target recognition;
  • Radar target recognition based on deep learning.

We look forward to receiving your contributions. 

Dr. Biao Tian
Dr. Wei Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • SAR imaging
  • ISAR imaging
  • 3D reconstruction
  • HRRP recognition
  • SAR target recognition
  • ISAR target recognition
  • deep learning

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Published Papers (3 papers)

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Research

17 pages, 14027 KiB  
Article
Expanding Imaging of Satellites in Space (IoSiS): A Feasibility Study on the 3-Dimensional Imaging of Satellites Using Interferometry and Tomography
by Fabian Hochberg, Matthias Jirousek, Simon Anger and Markus Peichl
Electronics 2024, 13(24), 4914; https://doi.org/10.3390/electronics13244914 - 12 Dec 2024
Viewed by 764
Abstract
As the need for new and advanced space situational awareness systems increases, new technologies for in situ observations are needed. The experimental IoSiS (Imaging of Satellites in Space) system at the German Aerospace Center (DLR) is already capable of high-resolution imaging tasks using [...] Read more.
As the need for new and advanced space situational awareness systems increases, new technologies for in situ observations are needed. The experimental IoSiS (Imaging of Satellites in Space) system at the German Aerospace Center (DLR) is already capable of high-resolution imaging tasks using inverse synthetic aperture radar technology. As two-dimensional radar images can be difficult to interpret, full three-dimensional imaging is desired. This paper extends the previously published simulation aspects to real ground-based experiments using a single spatially separated receiver, allowing interferometric measurements. However, as interferometry cannot fully resolve a three-dimensional object, more spatially separated receivers are also considered for the use of ISAR tomography to gain experimental insight into true three-dimensional imaging as IoSiS will eventually move toward a tomographic acquisition mode. The results shown here promise a high-resolution imaging method for the future development of IoSiS. Based on the research presented here, additional receivers can be implemented into IoSiS to establish real-world three-dimensional measurements of space objects. Full article
(This article belongs to the Special Issue Microwave Imaging and Applications)
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20 pages, 26068 KiB  
Article
Noise-Robust Radar High-Resolution Range Profile Target Recognition Based on Residual Scattering Attention Network
by Pengjun Huang, Shuai Li, Wentao Li, Muhai Zheng, Biao Tian and Shiyou Xu
Electronics 2024, 13(23), 4587; https://doi.org/10.3390/electronics13234587 - 21 Nov 2024
Cited by 1 | Viewed by 886
Abstract
In recent years, radar automatic target recognition (RATR) utilizing high-resolution range profiles (HRRPs) has received significant attention. Approaches based on deep learning have demonstrated remarkable efficacy in HRRP recognition tasks. However, the performance of neural networks is notably vulnerable to noise, leading to [...] Read more.
In recent years, radar automatic target recognition (RATR) utilizing high-resolution range profiles (HRRPs) has received significant attention. Approaches based on deep learning have demonstrated remarkable efficacy in HRRP recognition tasks. However, the performance of neural networks is notably vulnerable to noise, leading to a detrimental effect on their recognition accuracy and overall robustness. To address this issue, a residual scattering attention network (RSAN) is proposed for HRRP target recognition, which comprises a residual scattering network, ResNet18, and a self-attention module. The residual scattering network is designed to suppress noise components and extract noise-robust features. It is derived from the improvement of a scattering network and does not need to learn parameters from the data. ResNet18 is employed for the purpose of extracting a deep representation of scattering features for HRRPs. Furthermore, a self-attention module is integrated into ResNet18, enabling the model to focus on target regions, thereby enhancing its feature-learning capability. The effectiveness and noise robustness of the proposed method are validated through experiments conducted on two measured datasets. Full article
(This article belongs to the Special Issue Microwave Imaging and Applications)
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24 pages, 8434 KiB  
Article
A Fast Inverse Synthetic Aperture Radar Imaging Scheme Combining GPU-Accelerated Shooting and Bouncing Ray and Back Projection Algorithm under Wide Bandwidths and Angles
by Jiongming Chen, Pengju Yang, Rong Zhang and Rui Wu
Electronics 2024, 13(15), 3062; https://doi.org/10.3390/electronics13153062 - 2 Aug 2024
Cited by 1 | Viewed by 1393
Abstract
Inverse synthetic aperture radar (ISAR) imaging techniques are frequently used in target classification and recognition applications, due to its capability to produce high-resolution images for moving targets. In order to meet the demand of ISAR imaging for electromagnetic calculation with high efficiency and [...] Read more.
Inverse synthetic aperture radar (ISAR) imaging techniques are frequently used in target classification and recognition applications, due to its capability to produce high-resolution images for moving targets. In order to meet the demand of ISAR imaging for electromagnetic calculation with high efficiency and accuracy, a novel accelerated shooting and bouncing ray (SBR) method is presented by combining a Graphics Processing Unit (GPU) and Bounding Volume Hierarchies (BVH) tree structure. To overcome the problem of unfocused images by a Fourier-based ISAR procedure under wide-angle and wide-bandwidth conditions, an efficient parallel back projection (BP) imaging algorithm is developed by utilizing the GPU acceleration technique. The presented GPU-accelerated SBR is validated by comparison with the RL-GO method in commercial software FEKO v2020. For ISAR images, it is clearly indicated that strong scattering centers as well as target profiles can be observed under large observation azimuth angles, Δφ=90°, and wide bandwidths, 3 GHz. It is also indicated that ISAR imaging is heavily sensitive to observation angles. In addition, obvious sidelobes can be observed, due to the phase history of the electromagnetic wave being distorted resulting from multipole scattering. Simulation results confirm the feasibility and efficiency of our scheme by combining GPU-accelerated SBR with the BP algorithm for fast ISAR imaging simulation under wide-angle and wide-bandwidth conditions. Full article
(This article belongs to the Special Issue Microwave Imaging and Applications)
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