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Microwave and Millimeter Wave Sensing and Applications
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Microwave and Millimeter Wave Sensing and Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: closed (31 December 2024) | Viewed by 1872

Special Issue Editor

Dr. Jiahui Fu

E-Mail Website
Guest Editor
School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China
Interests: microwave; millimeter wave circuit; metamaterial; FSS; numerical solution of electromagnetic field; electromagnetic compatibility
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Microwave and millimeter wave sensing and applications is a topic that covers a wide range of research areas, including antenna sensors, propagation and EM theory, microwave and millimeter wave radar electronics, and nanodevices for microwave and millimeter wave applications. The research in this field is dedicated to developing new applications and expanding the frequency ranges typical of traditional ones, as well as exploring new technologies based on innovative materials. The demand for microwave and millimeter wave sensors has increased significantly in recent years, and they have been employed in every industry sector, including consumer electronics, information technology, automotives, health, and telecommunications. This topic fits well with the scope of Sensors as it covers physical sensors, wireless sensors, and electromagnetic sensors.

Prof. Dr. Jiahui Fu
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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

  • microwave sensing
  • microwave and millimeter wave technology
  • microwave and millimeter wave radar
  • wireless communication
  • antenna design
  • microwave and millimeter wave detection
  • imaging applications

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Published Papers (2 papers)

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16 pages, 4116 KiB  
Article
Electromagnetic Imaging in Half-Space Using U-Net with the Iterative Modified Contrast Scheme
by Chien-Ching Chiu, Ching-Lieh Li, Po-Hsiang Chen, Yen-Chun Li and Eng-Hock Lim
Sensors 2025, 25(4), 1120; https://doi.org/10.3390/s25041120 - 12 Feb 2025
Viewed by 557
Abstract
U-Net with the iterative modified contrast scheme (IMCS) is proposed to solve inverse scattering problems (ISPs) in half-space. IMCS is an innovative inversion technique that utilizes contrast functions to improve the visibility of target regions and reconstruct the internal structure of objects. In [...] Read more.
U-Net with the iterative modified contrast scheme (IMCS) is proposed to solve inverse scattering problems (ISPs) in half-space. IMCS is an innovative inversion technique that utilizes contrast functions to improve the visibility of target regions and reconstruct the internal structure of objects. In contrast to applying IMCS alone, our proposed method improves the detection of contrast boundaries, enhancing noise immunity as well as increasing the structural similarity (SSI) through deep learning with U-Net. We compare the numerical results for 200-iteration IMCS and U-Net with 3-iteration IMCS, and it is found that the accuracy of reconstructed images can be improved a lot by U-Net with the 3-iteration IMCS architecture. In addition, even in the case of large Gaussian noise, the reconstruction is still good with our proposed method. Full article
(This article belongs to the Special Issue Microwave and Millimeter Wave Sensing and Applications)
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20 pages, 26546 KiB  
Article
Synthetic Imaging Radar Data Generation in Various Clutter Environments Using Novel UWB Log-Periodic Antenna
by Deepmala Trivedi, Gopal Singh Phartiyal, Ajeet Kumar and Dharmendra Singh
Sensors 2024, 24(24), 7903; https://doi.org/10.3390/s24247903 - 11 Dec 2024
Viewed by 698
Abstract
In short-range microwave imaging, the collection of data in real environments for the purpose of developing techniques for target detection is very cumbersome. Simultaneously, to develop effective and efficient AI/ML-based techniques for target detection, a sufficiently large dataset is required. Therefore, to complement [...] Read more.
In short-range microwave imaging, the collection of data in real environments for the purpose of developing techniques for target detection is very cumbersome. Simultaneously, to develop effective and efficient AI/ML-based techniques for target detection, a sufficiently large dataset is required. Therefore, to complement labor-intensive and tedious experimental data collected in a real cluttered environment, synthetic data generation via cost-efficient electromagnetic wave propagation simulations is explored in this article. To obtain realistic synthetic data, a 3-D model of an antenna, instead of a point source, is used to include the coupling effects between the antenna and the environment. A novel printed scalable ultra-wide band (UWB) log-periodic antenna with a tapered feed line is designed and incorporated in simulation models. The proposed antenna has a highly directional radiation pattern with considerable high gain (more than 6 dBi) on the entire bandwidth. Synthetic data are generated for two different applications, namely through-the-wall imaging (TWI) and through-the-foliage imaging (TFI). After the generation of synthetic data, clutter removal techniques are also explored, and results are analyzed in different scenarios. Post-analysis shows evidence that the proposed UWB log-periodic antenna-based synthetic imagery is suitable for use as an alternative dataset for TWI and TFI application development, especially in training machine learning models. Full article
(This article belongs to the Special Issue Microwave and Millimeter Wave Sensing and Applications)
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