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Advanced Design and Electronic Design Automation Techniques of Analog and RF Integrated Circuits for Sensor Applications

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

Deadline for manuscript submissions: 30 April 2025 | Viewed by 1051

Special Issue Editors


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Guest Editor
Department of Electrical and Computer Engineering, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, NL, Canada
Interests: very-large-scale-integration (VLSI) design automation; analog and mixed-signal integrated circuit design; digital circuit and system design; MEMS design and design automation; microfluidics and biosensors; wireless sensor networks; computer-based instrumentation; microelectronics and computer applications in ocean and biomedical engineering; computer peripherals

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Guest Editor
Department of Electrical and Computer Engineering, Lakehead University, Thunder Bay, ON, Canada
Interests: CMOS analog and mixed-signal circuits; design and modeling of clock generation circuits; ultra-low-power transceiver design; design methodologies for Gbps wireline transceivers

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Guest Editor
Instituto de Telecomunicações, Instituto Superior Técnico, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
Interests: analog, RF and mmWave IC design automation; deep nanometer integration technologies; integrated circuits’ layout; applied soft computing; machine and deep learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue of Sensors, titled “Advanced Design and Electronic Design Automation Techniques of Analog and RF Integrated Circuits for Sensor Applications”, aims to showcase the latest advancements in the design and electronic design automation (EDA) techniques of analog and RF integrated circuits (ICs) specifically tailored for sensor applications.

Analog and RF ICs play a crucial role in sensor systems by enabling the conversion, amplification, and processing of signals from various sensors, thereby facilitating accurate and reliable measurement and detection. As sensor technologies continue to evolve, and in turn the demand for high-performance and low-power ICs keeps increasing, it becomes imperative to explore innovative IC design methodologies and EDA techniques that address the unique challenges associated with sensor applications.

Topics of interest include, but are not limited to, the following:

  • Novel circuit architectures and design methodologies for sensor interface or signal-processing ICs.
  • Low-power and low-noise analog as well as RF circuit design techniques.
  • Circuit techniques for improved sensor signal conditioning and digitization.
  • Design of low-power, high-precision, and/or high-resolution analog-to-digital converters (ADCs) and digital-to-analog converters (DACs) for sensor applications.
  • Frequency synthesizers, phase-locked loops (PLLs), and clock generation circuits for sensor systems.
  • EDA tools and methodologies for efficient design and verification of analog and RF ICs.
  • Circuit- and system-level optimization techniques for power, area, and performance trade-offs in sensor ICs.
  • Design challenges and solutions for emerging sensor technologies (e.g., MEMS, the IoT, and biomedical sensors).
  • Test and measurement techniques for the characterization and validation of sensor ICs.

Prof. Dr. Lihong Zhang
Dr. Yushi Zhou
Dr. Ricardo Martins
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

  • integrated circuits (ICs)
  • analog and radio frequency (RF)
  • circuit design methodologies
  • electronic design automation (EDA)
  • sensor application, design, and optimization
  • circuit performance and constraints

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Published Papers (1 paper)

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Research

12 pages, 1100 KiB  
Article
Acceleration for Efficient Automated Generation of Operational Amplifiers
by Zhenxin Zhao, Jun Liu and Lihong Zhang
Sensors 2024, 24(12), 3990; https://doi.org/10.3390/s24123990 - 20 Jun 2024
Viewed by 683
Abstract
Operational amplifiers (Op-Amps) are critical to sensor systems because they enable precise, reliable, and flexible signal processing. Current automated Op-Amp generation methods suffer from extremely low efficiency because the time-consuming SPICE-in-the-loop sizing is normally involved as its inner loop. In this paper, we [...] Read more.
Operational amplifiers (Op-Amps) are critical to sensor systems because they enable precise, reliable, and flexible signal processing. Current automated Op-Amp generation methods suffer from extremely low efficiency because the time-consuming SPICE-in-the-loop sizing is normally involved as its inner loop. In this paper, we propose an efficiently automated Op-Amp generation tool using a hybrid sizing method, which combines the merits together from a deterministic optimization algorithm and differential evolution algorithm. Thus, it can not only quickly find a decent local optimum, but also eventually converge to a global optimum. This feature is well fit to be serving as an acute filter in the circuit structure evaluation flow to efficiently eliminate any undesirable circuit structures in advance of detailed sizing. Our experimental results demonstrate its superiority over traditional sizing approaches and show its efficacy in highly boosting the efficiency of automated Op-Amp structure generation. Full article
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