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Innovative Applications of mmWave Sensors

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

Deadline for manuscript submissions: 30 November 2025 | Viewed by 797

Special Issue Editors


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Guest Editor
Department of Computer Science and Engineering, University of Colorado Denver, Denver 80204, CO, USA
Interests: Internet-of-Things; mobile and cybersecurity

E-Mail Website
Guest Editor
Department of Computer Science, North Carolina State Univeristy, Raleigh 27695, NC, USA
Interests: Internet of Things (IoT); physiological science; smart health

Special Issue Information

Dear Colleagues,

Millimeter wave (mmWave) sensors are being increasingly utilized across a variety of essential domains such as automotive vehicles, security systems, and robotics, distinguished by their superior capability to capture motion details and maintain reliable performance under challenging weather and environmental scenarios. This Special Issue is dedicated to showcasing cutting-edge research and advancements in the field of mmWave sensor technology.

This Special Issue will cover a broad spectrum of topics related to mmWave sensors, from theoretical research and experimental efforts to real-world applications. Submissions are invited from across all aspects of mmWave sensor technology, including novel sensor design, signal processing, advanced artificial intelligence-aided sensing models, integrated system development, and evaluation benchmarks. Furthermore, we are eager to see papers that delve into the innovative applications of mmWave sensors in forefront areas such as cybersecurity, autonomous driving, wireless sensing, environmental monitoring, human–computer interaction, and the biomedical and healthcare fields. These contributions should aim to broaden the scope of current applications for mmWave sensors, showcasing their critical role in enhancing operational efficiency, safety, trustworthiness, and the overall user experience and underscoring the wide-ranging impact of this technology.

We hope to create a vibrant platform for researchers, engineers, and industry professionals to exchange knowledge, innovative ideas, and the latest trends in mmWave sensor technology. Through promoting cross-disciplinary exploration, this issue aims to advance the application of mmWave sensors and unveil new pathways for their use. 

For this Special Issue, we invite contributions from researchers and developers across all areas related to millimeter wave sensors and their applications, encompassing both scientific and industrial perspectives. We welcome original manuscripts that primarily focus on, but are not limited to, the following fields:

  • New fields of millimeter wave sensor technology and applications;
  • Millimeter wave measurements and system design;
  • Millimeter wave sensor design and signal processing;
  • AI-enhanced millimeter wave technology;
  • Millimeter wave imaging;
  • Millimeter wave propagation and communication;
  • Security and safety in millimeter wave applications.

Dr. Zhengxiong Li
Dr. Chenhan Xu
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. Sensors 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 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

  • new fields of millimeter wave sensor technology and applications
  • millimeter wave measurements and system design
  • millimeter wave sensor design and signal processing
  • AI-enhanced millimeter wave technology
  • millimeter wave imaging
  • millimeter wave propagation and communication
  • security and safety in millimeter wave applications

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Published Papers (1 paper)

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Research

15 pages, 1928 KiB  
Article
High-Precision 2D-DOA Estimation Method for Millimeter-Wave Radar Based on Double-Parallel Linear Array and Joint IAA-RIT
by Danyang Yu, Lei Du, Jie Bai and Yulin Chen
Sensors 2025, 25(8), 2609; https://doi.org/10.3390/s25082609 - 20 Apr 2025
Viewed by 122
Abstract
High-precision two-dimensional direction of arrival (2D-DOA) estimation is an important mean of millimeter-wave radar for accurate target location. Aiming at the problems such as limited antenna aperture, signal coherence, and a few snapshots in millimeter-wave radar target detection, this paper proposes a 2D-DOA [...] Read more.
High-precision two-dimensional direction of arrival (2D-DOA) estimation is an important mean of millimeter-wave radar for accurate target location. Aiming at the problems such as limited antenna aperture, signal coherence, and a few snapshots in millimeter-wave radar target detection, this paper proposes a 2D-DOA estimation method by using a joint iterative adaptive approach and rotational invariance technique (IAA-RIT) based on the double-parallel linear array. This method first constructs an iterative adaptive approach spectrum based on subarray 1 in the double-parallel linear array and then calculates the coupling angle estimate with the azimuth and the elevation. Secondly, based on the rotational invariance relationship between the two subarrays, the extended covariance matrices are respectively constructed, and the spatial smoothing technique is employed to decorrelate the signals. Then, the signal direction matrix is reconstructed based on the coupling angle estimate, and the rotational invariance relationship between the two subarrays is calculated to obtain another set of coupling angle estimates. Finally, the azimuth and the elevation are decoupled based on two sets of estimated coupling angles and the spatial geometry relation. Our experimental results show that IAA-RIT can estimate the coherent signal with high-precision 2D-DOA with a few snapshots and no additional angle matching. Full article
(This article belongs to the Special Issue Innovative Applications of mmWave Sensors)
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