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Feature Papers in Electronic Sensors 2025

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

Deadline for manuscript submissions: 31 December 2025 | Viewed by 3274

Special Issue Editors


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Guest Editor
Department of Information Engineering (DII), University of Brescia, Via Branze 38, I-25123 Brescia, Italy
Interests: piezoelectric sensors and transducers; resonant and acoustic-wave sensors; energy harvesting for sensors; sensor interface electronics; MEMS and microsensors for physical quantities
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Guest Editor
Dalian Key Lab of Marine Micro/Nano Energy and Self-Powered System, Marine Engineering College Dalian Maritime University, Dalian 116026, China
Interests: self-powered sensor; underwater sensor; energy harvesting technology; triboelectric nanogenerator
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce that the Electronic Sensors Section is now compiling a second edition of feature papers submitted by the Section Editorial Board Members (EBMs) as well as outstanding scholars in this research field. We welcome both contributions and recommendations from the EBMs.

The purpose of this Special Issue is to publish a set of the very best papers that are insightful and influential original research articles or reviews, where our Section’s EBMs discuss key topics in the field. We expect these papers to be widely read and highly influential within the field. All papers in this Special Issue will be collected into a printed-edition book after the deadline and will be well promoted.

We would also like to take this opportunity to call on more scholars to join the Electronic Sensors Section so that we can work together to further develop this exciting field of research. Potential topics include, but are not limited to, the following:

Electronic sensors, devices and systems.

Current/voltage/impedance sensors, magnetic sensors, acoustic sensors, image sensors, photodetectors, radars and radiometers, etc.

Microelectronic sensors, mechatronics, microelectromechanical sensors, MEMS, piezoelectric sensors, piezoresistive sensors, triboelectric sensors, optoelectronic sensors, thermoelectric sensors, CMOS sensors, etc.

Radiofrequency sensors, microchips, antennas, radio receivers and transmitters, PCB, etc.

Sensor electronics.

Sensor electronic interfaces and front-end electronics.

Analog/digital/mixed/RF/integrated circuit design, readout circuits, rectifier circuits, and VLSI circuits.

Microwave and mm-wave circuits for sensors.

SoC-based sensor electronics: FPGA, MCU, etc.

Electronics for data acquisition and signal processing in relation to sensors and their operation.

Models for sensor circuit simulation.

Sensor characterization circuits and methods—hardware implementation and performance analysis.

Sensor signal processing.

Analog signal processing: electronic circuits, radio, telephone, radar, and television systems.

Digital signal processing: digital circuits, ASICs, FPGA, and DSP chips.

Audio, image, and video signal processing, and its compression and analysis.

Wireless communications: statistical channel modeling, waveform generation, filtering, optimal receiver design, and modulation and demodulation techniques.

Array processing: sensors; antenna, radar, sonar, acoustic, anti-jamming and wireless communications; and seismic exploration.

Signal quality improvement: noise reduction, image enhancement, and echo cancellation.

Computer vision: pattern recognition, digital geometry, and signal processing.

Potential applications.

Electrical power and energy systems, self-powered sensors, low-power devices, power amplifiers, energy harvesting, thermoelectric generators, etc.

Semiconductor devices.

Advanced electromechanical systems and control applications.

Electronic packaging.

Flexible/stretchable/printed electronics and sensors.

Multi-sensor fusion.

Biomedical applications and surgery.

Artificial senses, including electronic tongues and electronic noses.

Emergencies and alerts.

Verification and recognition.

Automotive sensors.

Structural health monitoring.

Instrumentation and measurement.

Prof. Dr. Vittorio Ferrari
Prof. Dr. Minyi 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

  • electronic sensors
  • current/voltage/impedance sensors
  • magnetic sensors
  • microelectronic sensors
  • CMOS sensors
  • piezoelectric sensors and transducers
  • integrated circuit design

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Published Papers (4 papers)

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Research

21 pages, 1495 KiB  
Article
Novel Two-Chamber Method for High-Precision TCR Determination of Current Shunts—Part I
by Petar Mostarac, Roman Malarić, Hrvoje Hegeduš and Alan Šala
Sensors 2025, 25(10), 3197; https://doi.org/10.3390/s25103197 - 19 May 2025
Abstract
The temperature coefficient of resistance (TCR) plays a crucial role in ensuring the functional accuracy of systems. This article examines the determination of TCR for precision current shunts and presents a novel two-chamber method. The method uses a two-chamber setup for high-precision temperature [...] Read more.
The temperature coefficient of resistance (TCR) plays a crucial role in ensuring the functional accuracy of systems. This article examines the determination of TCR for precision current shunts and presents a novel two-chamber method. The method uses a two-chamber setup for high-precision temperature control, which ensures a reduction in measurement uncertainty when determining the TCR. The two-chamber method is applicable for resistance ratios from 0.1 to 10. The advantages of the proposed method are the improvement of the stability of the reference shunt and the reduction of the measurement uncertainty, and thus a more accurate determination of the TCR. In Part I, the influence of the individual parameters on the determination of the measurement uncertainty of the measured TCR is analyzed. Full article
(This article belongs to the Special Issue Feature Papers in Electronic Sensors 2025)
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21 pages, 5595 KiB  
Article
A Compact and Tunable Active Inductor-Based Bandpass Filter with High Dynamic Range for UHF Band Applications
by Sehmi Saad, Fayrouz Haddad and Aymen Ben Hammadi
Sensors 2025, 25(10), 3089; https://doi.org/10.3390/s25103089 - 13 May 2025
Viewed by 225
Abstract
This paper presents a fully integrated bandpass filter (BPF) with high tunability based on a novel differential active inductor (DAI), designed for sensor interface circuits operating in the ultra-high frequency (UHF) band. The design of the proposed DAI is based on a symmetrical [...] Read more.
This paper presents a fully integrated bandpass filter (BPF) with high tunability based on a novel differential active inductor (DAI), designed for sensor interface circuits operating in the ultra-high frequency (UHF) band. The design of the proposed DAI is based on a symmetrical configuration, utilizing a differential amplifier for the feedforward transconductance and a common-source (CS) transistor for the feedback transconductance. By integrating a cascode scheme with a feedback resistor, the quality factor of the active inductor is significantly improved, leading to enhanced mid-band gain for the bandpass filter. To facilitate independent tuning of the BPF‘s center frequency and mid-band gain, an active resistor adjustment and bias voltage control are employed, providing precise control over the filter’s operational parameters. Post-layout simulations and process corner results are conducted with 0.13 µm CMOS technology at 1.2 V supply voltage. The proposed second order BPF achieves a broad tuning range of 280 MHz to 2.426 GHz, with a passband gain between 8.9 dB and 16.54 dB. The design demonstrates a maximum noise figure of 16.54 dB at 280 MHz, an input-referred 1 dB compression point of −3.78 dBm, and a third-order input intercept point (IIP3) of −0.897 dBm. Additionally, the BPF occupies an active area of only 68.2×30 µm2, including impedance-matching part, and consumes a DC power of 14–20 mW. The compact size and low power consumption of the design make it highly suitable for integration into modern wireless sensor interfaces where performance and area efficiency are critical. Full article
(This article belongs to the Special Issue Feature Papers in Electronic Sensors 2025)
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16 pages, 6306 KiB  
Article
Design and Realization of a High-Q Grounded Tunable Active Inductor for 5G NR (FR1) Transceiver Front-End Applications
by Sehmi Saad, Aymen Ben Hammadi and Fayrouz Haddad
Sensors 2025, 25(10), 3070; https://doi.org/10.3390/s25103070 - 13 May 2025
Viewed by 133
Abstract
This paper presents a wide-tuning-range, low-power tunable active inductor (AI) designed and fabricated using 130 nm CMOS technology with six metal layers. To achieve high performance with a relatively small silicon area and low power consumption, the AI structure is carefully designed and [...] Read more.
This paper presents a wide-tuning-range, low-power tunable active inductor (AI) designed and fabricated using 130 nm CMOS technology with six metal layers. To achieve high performance with a relatively small silicon area and low power consumption, the AI structure is carefully designed and optimized using a cascode stage, a feedback resistor, and multi-gate finger transistors. In the proposed circuit topology, inductance tuning is realized by adjusting both the bias current and the feedback resistor. The performance of the circuit is evaluated in terms of tuning range, quality factor, power consumption, and chip area. The functionality of the fabricated device is experimentally validated, and the fundamental characteristics of the active inductor are measured over a wide frequency range using a Cascade GSG probe, with results compared to simulations. Experimental measurements show that, under a 1 V supply, the AI achieves a self-resonant frequency (SRF) of 3.961 GHz and a quality factor (Q) exceeding 1586 at 2.383 GHz. The inductance is tunable between 6.7 nH and 84.4 nH, with a total power consumption of approximately 2 mW. The total active area, including pads, is 345 × 400 µm2. Full article
(This article belongs to the Special Issue Feature Papers in Electronic Sensors 2025)
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14 pages, 2569 KiB  
Article
Wild Boars’ Selective Capture with IoT and Electronic Devices Solutions for Innovative, Sustainable and Ethical Management
by Maria Teresa Verde, Luigi Esposito, Francesco Bonavolontà, Oscar Tamburis, Annalisa Liccardo and Nadia Piscopo
Sensors 2025, 25(7), 2071; https://doi.org/10.3390/s25072071 - 26 Mar 2025
Viewed by 566
Abstract
The growing population of wild boars (Sus scrofa) in all highly anthropized countries represents a current challenge for the protection of ecosystems, agriculture and urban environments. This study introduces an innovative capture solution based on IoT systems designed to enable the [...] Read more.
The growing population of wild boars (Sus scrofa) in all highly anthropized countries represents a current challenge for the protection of ecosystems, agriculture and urban environments. This study introduces an innovative capture solution based on IoT systems designed to enable the selective capture of sub-adult wild boars in an ethical manner and minimize stress and bycatch. Conducted over five years in a Natura 2000 area in Campania, Italy, the research integrates advanced technologies, including AI-based infrared cameras, LoRa communication and autonomous feeding systems, to monitor, control and operate a specially designed selective cage trap. The results obtained demonstrate how technological innovation improves wildlife and hunting management by selecting younger animals without interfering with group dynamics. Selective capture ensures healthy population control, does not conflict with hunting and reduces pressure on habitats, especially if these fall within areas of particular importance for European biodiversity. Full article
(This article belongs to the Special Issue Feature Papers in Electronic Sensors 2025)
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