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Microwave Components in Sensing Design and Signal Processing

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

Deadline for manuscript submissions: 31 May 2025 | Viewed by 701

Special Issue Editors


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Guest Editor
Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences (CAS), Ningbo 315201, China
Interests: Microwave Sensing; Microwave Components; Microwave Antennas; Electromagnetic Wave;

E-Mail Website
Guest Editor
College of Electronic Science and Technology, National University of Defense Technology, Changsha 410076, China
Interests: Electromagnetic Wave; Electromagnetic Compatibility; Electromagnetic Design; Microwave Sensing; Microwave Components;

Special Issue Information

Dear Colleagues,

Microwave sensing technologies have become the backbone of various applications including communications, environmental monitoring, medical diagnostics, and industrial process control, etc. This special issue aims to cover the latest advancements in microwave component design and signal processing techniques for sensing applications, including the design and optimization of microwave components such as antennas, filters, amplifiers, absorbers and resonators, the fabrication techniques to enhance their performance and reliability and advanced signal processing algorithms and methodologies, how to improve detection sensitivity, and enhance the overall performance of microwave sensing systems.

In addition to technical aspects, the special issue also focuses on practical considerations for these advanced microwave components, such as system integration, calibration, and validation of microwave sensing systems in modern applications.

Dr. Kewen Pan
Dr. Xianjun Huang
Guest Editors

Manuscript Submission Information

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Keywords

  • microwave sensing
  • microwave component design
  • microwave signal processing
  • antennas
  • filters
  • amplifiers
  • absorbers
  • resonators
  • microwave system integration

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Published Papers (1 paper)

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Research

16 pages, 3033 KiB  
Article
Spatial and Temporal Mapping of RF Exposure in an Urban Core Using Exposimeter and GIS
by Montaña Rufo-Pérez, Alicia Antolín-Salazar, Jesús M. Paniagua-Sánchez, Antonio Jiménez-Barco and Francisco J. Rodríguez-Hernández
Sensors 2025, 25(5), 1301; https://doi.org/10.3390/s25051301 - 20 Feb 2025
Viewed by 373
Abstract
The primary aim of this study was to evaluate the spatial and temporal variation in human exposure to electromagnetic fields across different frequency bands within an urban area identified as the commercial zone of a medium-sized city. Central to this investigation was the [...] Read more.
The primary aim of this study was to evaluate the spatial and temporal variation in human exposure to electromagnetic fields across different frequency bands within an urban area identified as the commercial zone of a medium-sized city. Central to this investigation was the use of an exposimeter, strategically positioned on the back of the operator and secured to the hip area via a belt, to ensure comprehensive and accurate field measurements. An initial analysis was conducted to determine the shielding coefficients of the human body, allowing for precise corrections of the electric field values used in the spatial assessment. To map power density across the study area for each frequency, kriging interpolation was applied. Furthermore, temporal variations in exposure levels were analyzed at three distinct times of day—morning business hours, afternoon business hours, and non-business hours—using robust statistical methods. The study’s innovative approach lies in the integration of GIS technology to uncover and visualize temporal patterns in exposure, particularly during periods of higher pedestrian density. This integration facilitated both the detection of temporal variations and the spatial representation of these changes, enabling rapid identification and assessment of exposure hotspots. Full article
(This article belongs to the Special Issue Microwave Components in Sensing Design and Signal Processing)
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