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Advanced Technology Related to Radar Signal, Imaging, and Radar Cross-Section...
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Advanced Technology Related to Radar Signal, Imaging, and Radar Cross-Section Measurement, Volume II

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

Deadline for manuscript submissions: closed (15 September 2024) | Viewed by 6035

Special Issue Editors

Prof. Dr. Hirokazu Kobayashi

E-Mail Website
Guest Editor
Department of Electronics and Information Systems Engineering, Osaka Institute of Technology, Osaka 535-8585, Japan
Interests: radar imaging; inverse synthetic aperture radar; electromagnetic modeling; radar cross-section theory and measurement; radar beam scanning; radar signal processing
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Toshifumi Moriyama

E-Mail Website
Guest Editor
Graduate School of Engineering, Nagasaki University, 1-14 Bunkyo-machi, Nagasaki 852-8521, Japan
Interests: radar polarimetry; inverse scattering; microwave remote-sensing; wireless sensor networks
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

A radar system is made of many elemental and hard/software technologies. Recent applications are expanding to short-distance radar, such as security, nondestructive observation, and aerial monitoring, as well as long-distance radar, such as remote sensing, surveillance, and weather observation. In these various applications, the key technologies supporting radar are essentially the signal, image, and data processing in order to detect a target more explicitly, which includes synthetic aperture imaging, compressive sensing, multiple input multiple output (MIMO) processing, and radar beam scanning, in a broad sense. On the other hand, radar cross-section (RCS) evaluation and electromagnetic modeling technologies of radar targets are also important to develop future smart radar.

The aim of this Special Issue of Electronics is to present state-of-the-art investigations in various radar-important technologies for future applications. We invite researchers to contribute original and unique articles, as well as sophisticated review articles. Topics include, but are not limited to, the following areas:

  • Radar imaging technology.
  • Inverse synthetic aperture radar imaging.
  • Inverse electromagnetic scattering.
  • Short-distance radar.
  • Collision-avoidance radar.
  • Subsurface and ground penetrating radar.
  • Microwave remote sensing image analysis.
  • RCS near-field to far-field transformation.
  • Radar electromagnetic modeling and simulation.
  • Target recognition.
  • Radar data fusion.

Prof. Dr. Hirokazu Kobayashi
Prof. Dr. Toshifumi Moriyama
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

  • radar imaging technology
  • inverse synthetic aperture radar imaging
  • inverse electromagnetic scattering
  • short-distance radar
  • collision-avoidance radar
  • subsurface and ground penetrating radar
  • microwave remote sensing image analysis
  • RCS near-field to far-field transformation
  • radar electromagnetic modeling and simulation
  • target recognition
  • radar data fusion

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Published Papers (3 papers)

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Research

17 pages, 2700 KiB  
Article
Receiving Paths Improvement of Digital Phased Array Antennas Using Adaptive Dynamic Range
by Xuan Luong Nguyen, Thanh Thuy Dang Thi, Phung Bao Nguyen and Viet Hung Tran
Electronics 2024, 13(21), 4161; https://doi.org/10.3390/electronics13214161 - 23 Oct 2024
Viewed by 1061
Abstract
In contemporary radar technology, the observation and detection of objects with low radar cross-sections remains a significant challenge. A multi-functional radar model employing a digital phased array antenna system offers notable advantages over traditional radar in addressing this issue. Nonetheless, to fully capitalize [...] Read more.
In contemporary radar technology, the observation and detection of objects with low radar cross-sections remains a significant challenge. A multi-functional radar model employing a digital phased array antenna system offers notable advantages over traditional radar in addressing this issue. Nonetheless, to fully capitalize on these benefits, improving the structure of the receiving path in digital transceiver modules is crucial. A method for improving the digital receiving path model by implementing a matched filter approach is introduced. Given that the return signals from objects are often lower than the internal noise, the analog part of the digital transceiver modules must ensure that its dynamic range aligns with the level of this noise and the weak signal. The output signal level of the analog part must correspond to the allowable input range of the analog-to-digital converter. Improvements in the receiving path to achieve a fully matched model can reduce errors in the phase parameters and amplitudes of the useful signal at the output. The simulation results presented in this paper demonstrate a reduction in amplitude error by approximately 1 dB and a phase error exceeding 1.5 degrees for the desired signal at the output of each receiving path. Consequently, these improvements are expected to enhance the overall quality and efficiency of the spatial and temporal accumulation processes in the digital phased array antenna system. Furthermore, to maintain the matched filter model, we also propose incorporating an adaptive “pseudo-expansion” of the linear gain range. This involves adding a feedback stage with an automatic and adaptive bias voltage adjustment for the intermediate-frequency preamplifier in the analog part of the receiving path. Simulations to qualitatively verify the validity of this proposal are conducted using data from practical operational radar system models. Full article
(This article belongs to the Special Issue Advanced Technology Related to Radar Signal, Imaging, and Radar Cross-Section Measurement, Volume II)
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18 pages, 16179 KiB  
Article
Construction Environment Noise Suppression of Ground-Penetrating Radar Signals Based on an RG-DMSA Neural Network
by Qing Wang, Yisheng Chen, Yupeng Shen and Meng Li
Electronics 2024, 13(14), 2843; https://doi.org/10.3390/electronics13142843 - 19 Jul 2024
Cited by 2 | Viewed by 987
Abstract
Ground-penetrating radar (GPR) is often used to detect targets in a construction environment. Due to the different construction environments, the noise exhibits different characteristics on the GPR signal. When the noise is widely distributed on the GPR signal, and its spectrum and the [...] Read more.
Ground-penetrating radar (GPR) is often used to detect targets in a construction environment. Due to the different construction environments, the noise exhibits different characteristics on the GPR signal. When the noise is widely distributed on the GPR signal, and its spectrum and the spectrum of the active signal are aliased, it is difficult to separate and suppress the noise by traditional filtering methods. In this paper, we propose a deep learning GPR image noise suppression method based on a recursive guided and dual multi-scale self-attention mechanism neural network (RG-DMSA-NN), which uses a recursive guidance module and a dual multi-scale self-attention mechanism module to improve the feature extraction ability of the image and enhance the robustness and generalization ability in image noise suppression. Through the application of noise suppression on the synthesized test data and the GPR data actually collected by the Macao Science and Technology Museum, the advantages of this method over the traditional filtering, DnCNN and UNet noise suppression methods are demonstrated. Full article
(This article belongs to the Special Issue Advanced Technology Related to Radar Signal, Imaging, and Radar Cross-Section Measurement, Volume II)
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18 pages, 5253 KiB  
Article
An Electronic Jamming Method Based on a Distributed Information Sharing Mechanism
by Pan Zhang, Yi Huang and Zhonghe Jin
Electronics 2023, 12(9), 2130; https://doi.org/10.3390/electronics12092130 - 6 May 2023
Cited by 4 | Viewed by 3199
Abstract
In an electronic jamming system, the ability to adequately perceive information determines the effectiveness of an electronic countermeasures strategy. This paper proposes a new method based on the combination of a multi-agent electronic jammer and an information sharing mechanism. With the development of [...] Read more.
In an electronic jamming system, the ability to adequately perceive information determines the effectiveness of an electronic countermeasures strategy. This paper proposes a new method based on the combination of a multi-agent electronic jammer and an information sharing mechanism. With the development of intelligent technology and deep learning, these technologies have been applied in electronic countermeasure game systems. Introducing intelligent technology into the electronic confrontation system can greatly improve decision-making efficiency. At the same time, a multi-agent electronic countermeasure cooperative system based on the information sharing method can break through the limited information perception capabilities of a single agent, thereby greatly improving the survivability of jamming systems in electronic warfare. Experimental results show that our method requires a lower jamming-to-signal ratio than the single jammer method to achieve effective electronic jamming. In addition, the electronic jamming parameters can be updated automatically as the external electromagnetic environment changes quickly, realizing a more intelligent electronic jamming system. Full article
(This article belongs to the Special Issue Advanced Technology Related to Radar Signal, Imaging, and Radar Cross-Section Measurement, Volume II)
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