Article
Engineering, Multidisciplinary
Pasquale Daponte, Luca De Vito, Grazia Iadarola, Sergio Rapuano
Summary: This paper proposes an innovative method for INL testing, which measures the voltage corresponding only to a subset of all DAC codes and then recovers the INL value for all codes using Compressed Sensing. Experimental evaluation on two DACs shows that the recovered curve is very close to the standard INL curve while saving considerable time.
Article
Computer Science, Hardware & Architecture
Nibedita Karmokar, Arvind K. Sharma, Jitesh Poojary, Meghna Madhusudan, Ramesh Harjani, Sachin S. Sapatnekar
Summary: This article focuses on the impact of process variations and interconnect parasitics on the performance metrics of capacitive digital-to-analog converters (DACs). It proposes efficient constructive procedures for common-centroid placement and routing for binary-weighted and split capacitor array topologies in FinFET technologies with high wire and via parasitics. The approach optimizes the switching speed of the capacitor array measured by the 3-dB frequency by trading off via counts with dispersion, while delivering high-quality results with low runtimes.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Seyed-Mehrdad Babamir, Behzad Razavi
Summary: This paper investigates the relationship between the integral nonlinearity of digital-to-analog converters and adjacent-channel power in RF transmitters, and verifies the results through simulations.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2022)
Article
Chemistry, Multidisciplinary
Roger Kwao Ahiadormey, Kwonhue Choi
Summary: This paper proposes rate-splitting multiple access for low-resolution ADC/DAC in multiuser massive MIMO systems, investigating the spectral efficiency and energy efficiency under imperfect CSI. The results show that as the resolution of ADC/DAC increases, the RS scheme achieves higher spectral efficiency in high SNR scenarios.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Hardware & Architecture
Mikhail M. Pilipko, Mikhail S. Yenuchenko
Summary: This paper focuses on the development of a switching scheme for unary digital-to-analog converters (DACs) to compensate for component value deviations during integrated circuit production. A novel hierarchical chessboard flip (HCF) switching scheme is proposed, which reduces integral nonlinearity (INL) better than previous solutions and is scalable to any even bit number in DAC array. The paper also introduces an extension of the simulation approach to reveal weaknesses of switching schemes based on the dependency of INL reduction on the rotation angle of the error profile.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
(2023)
Article
Computer Science, Information Systems
Meng Zhou, Yao Zhang, Xu Qiao, Mangang Xie, Longxiang Yang, Hongbo Zhu
Summary: This article explores the effects of multi-antenna users and low-resolution DACs on cell-free massive MIMO systems, deriving closed-form expressions for sum spectral efficiency and energy efficiency. The study shows that multicast is better than unicast when sum-SE is small, and replacing full-resolution DAC with a 5-bit DAC can achieve the same performance. Additionally, extra antennas at user end can enhance system performance, and 2-bit DAC quantization achieves maximum sum EE. Simulation results are provided to verify the derived results.
IEEE SYSTEMS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
In-soo Kim, Mehdi Bennis, Junil Choi
Summary: This paper investigates the uplink channel estimation and downlink data transmission phases of cell-free millimeter wave massive MIMO systems with low-capacity fronthaul links and low-resolution ADC/DAC. The paper proposes independent fronthaul compression and ADC/DAC quantization models, and addresses the codebook design problem. It also introduces an alternating optimization method to handle the max-min fairness problem. The numerical results demonstrate significant improvements in energy and spectral efficiency compared to baseline schemes.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Dan Yang, Jindan Xu, Wei Xu, Ning Wang, Bin Sheng, A. Lee Swindlehurst
Summary: This letter analyzes the performance of a secure massive MIMO system using low-resolution DACs over spatially correlated wireless channels and derives a tight lower bound for the achievable secrecy rate. The analytical results reveal that using low-resolution DACs can be beneficial to the secrecy performance, compared with ideal DACs, when the channels are strongly correlated and optimal power allocation is not employed.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Engineering, Electrical & Electronic
Xiaoyou Yu, Qi Yang, Zhu Xiao, Hongyang Chen, Vincent Havyarimana, Zhu Han
Summary: This paper investigates the precoder design for a MIMO DFRC system with one-bit DACs, formulating the problem as a weighted optimization problem to minimize error power and ensure radar waveform similarity. By proposing a multi-variable alternating minimization framework, closed-form solutions for the precoding factor and radar waveform are obtained, with a BPSO-SA algorithm used to solve the transmit signal matrix. Extensive simulations demonstrate the effectiveness of the approach, achieving significant SNR gains in different antenna system configurations.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Victor Aberg, Christian Fager, Rui Hou, Lars Svensson
Summary: A wideband Cartesian I/Q modulator is proposed, based on dual 10-bit RF-DACs, which achieves high linearity and low-complexity DPD using nonoverlapping LO signals and segmented nonlinear scaling. The modulator operates between 20 and 26 GHz with a peak sample rate of 11 GS/s in a 22-nm FDSOI CMOS process. It has demonstrated successful transmission of high-speed QAM and OFDM signals, indicating its potential for ultrawideband transmitters in mmW systems.
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
(2023)
Article
Computer Science, Information Systems
Mohamed Habib Loukil, Miguel R. Castellanos, Arupjyoti Bhuyan, Robert W. W. Heath Jr
Summary: In this paper, the application of low-resolution converters in wireless devices using 1-bit binary signals and Gaussian signals is studied. Two different signaling methods are proposed, and closed-form expressions for the secrecy rate and near-optimal algorithms are provided. Power is allocated primarily to the main signal at low signal-to-noise ratios, and optimal power allocation is effective only at high SNR. Additionally, knowledge of the eavesdropper channel greatly enhances system secrecy.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Evangelos Vlachos, John Thompson
Summary: This paper focuses on optimizing the transmit beamforming architecture to maximize energy efficiency (EE) and minimize the impact on spectral efficiency (SE). By dynamically activating RF chains with optimal SE-EE performance and selecting optimally between DAC resolutions, the proposed architecture exhibits improved performance compared to baseline techniques.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Computer Science, Hardware & Architecture
Liang Fang, Xianshan Wen, Tao Fu, Guanhua Wang, Sandeep Miryala, Tiehui Ted Liu, Ping Gui
Summary: This article presents a high-performance interleaved analog-to-digital converter with multiple techniques employed to reduce noise and nonidealities, achieving excellent performance at high sampling rates.
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
(2022)
Article
Chemistry, Analytical
Mengdi Zhang, Ye Zhao, Yong Chen, Paolo Crovetti, Yanji Wang, Xinshun Ning, Shushan Qiao
Summary: This paper proposes a slope analog-to-digital converter (ADC) that can be fully implemented on a digital field programmable gate array (FPGA) without the need for external components. It also introduces a new online calibration algorithm to mitigate the effects of process, voltage, and temperature variations on its performance.
Article
Computer Science, Information Systems
Rui Liang, Hui Li, Wenjie Zhang
Summary: This work investigates the use of one-bit digital-to-analog converters (DACs) for precoding in massive multi-user multi-input-multi-output (MUMIMO) downlink transmission systems. By exploiting the structural properties of nonconvex constraints, the nonconvex optimization problem is transformed into an equivalent continuous-domain mathematical programming problem. The proposed projected gradient method effectively reduces the uncoded bit error rate and achieves a performance gain of approximately 2 dB.
IEEE SYSTEMS JOURNAL
(2023)
Article
Energy & Fuels
Francesco Bonavolonta, Vincenzo Caragallo, Alessandro Fatica, Annalisa Liccardo, Adriano Masone, Claudio Sterle
Summary: The paper proposes an analytical method for determining the optimal positioning of intelligent electronic devices in medium voltage grids, considering the limitations of installation costs and penalties associated with power down.
Review
Engineering, Electrical & Electronic
Francesco Bonavolonta, Mauro D'Arco, Egidio De Benedetto, Dominique Dallet, Annarita Tedesco
Summary: The digital storage oscilloscope plays a vital role in measurement practice, serving both general purpose aims and specific applications. Technicians must have a deep understanding of DSO operation principles and features to fully exploit its potential. Calibration of the time-interleaved structure is a key issue for high-performance DSO digitizing systems.
IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE
(2021)
Article
Energy & Fuels
Annalisa Liccardo, Francesco Bonavolonta, Ignazio Romano, Rosario Schiano Lo Moriello
Summary: The paper focuses on optimizing some LoRa parameters to improve the performance of logic selectivity in power distribution, showcasing promising results in terms of intervention time and reliability through laboratory and on-field tests.
Article
Chemistry, Analytical
Mauro D'Arco, Ettore Napoli, Efstratios Zacharelos, Leopoldo Angrisani, Antonio Giuseppe Maria Strollo
Summary: The time-base used by digital storage oscilloscopes limits the selection of the sample rate, but ensures simplified data transfer and stable performance. A new time-base proposal allows for finer frequency resolution in selecting the sample rate.
Article
Energy & Fuels
Mauro D'Arco, Martina Guerritore
Summary: A theoretical framework for implementing multi-sensor data fusion methods for kinematic quantities is proposed, which allows the combination of signals from position, velocity, and acceleration sensors to improve observation of the target's kinematics. These methods do not require dynamic and error models and can be implemented with low computational burden.
Article
Energy & Fuels
Federico Gargiulo, Annalisa Liccardo, Rosario Schiano Lo Moriello
Summary: This paper proposes a non-invasive method for identifying electrical and mechanical faults in three-phase asynchronous electric motors using a machine learning algorithm based on an artificial neural network. The method demonstrates accuracy levels greater than 98% in identifying anomalous conditions of three-phase asynchronous motors.
Article
Chemistry, Analytical
Francesco Bonavolonta, Annalisa Liccardo, Rosario Schiano Lo Moriello, Enzo Caputo, Giorgio de Alteriis, Angelo Palladino, Giuseppe Vitolo
Summary: This paper investigates the use of smartphones to create a Passive Entry Passive Start (PEPS) system using Bluetooth Low-Energy (BLE) Fingerprinting technique. The proposed system can determine the driver's position inside or outside the vehicle. By considering spatial orientation, data filtering techniques, and network topology, the proposal ensures reliability. With only six embedded BLE devices, the system achieves a global accuracy of 98.5%.
Editorial Material
Computer Science, Information Systems
Annalisa Liccardo, Francesco Bonavolonta
Summary: The topics of virtual, mixed, and extended reality have gained significant attention in scientific and industrial applications. The Special Issue on VR, AR, and 3-D User Interfaces for Measurement and Control received diverse contributions analyzing various aspects of implementing these technologies in the real world. These contributions highlight the readiness of measurement and control applications based on new interaction models with reality to leave the laboratory and become part of everyday life. The potential benefits of this technology will revolutionize our lives and interactions with information and reality.
Article
Engineering, Multidisciplinary
Leopoldo Angrisani, Pasquale Arpaia, Mauro D'Arco, Egidio De Benedetto, Antonio Esposito, Monica Imbo, Annarita Tedesco
Summary: Sustainability is increasingly important in ICT, but no study has addressed the sustainability of measurements and their impact on the environment. This work proposes a methodological approach to assess the environmental sustainability of measurements in ICT. An iterative approach is presented to evaluate the overall impact of measurements, and the relationship between measurement sustainability and uncertainty is explored. Two practical scenarios are considered as representative examples.
Article
Computer Science, Information Systems
Annalisa Liccardo, Davide Lauria, Francesco Bonavolonta, Giorgio Maria Giannuzzi, Cosimo Pisani, Salvatore Tessitore
Summary: This paper discusses the issue of power system partitioning and proposes an improved clustering method to address the challenges posed by renewable energy sources. The method shows promising performance and reliability in separating transmission network sections with similar oscillatory behavior.
Article
Engineering, Electrical & Electronic
Annalisa Liccardo, Francesco Bonavolonta, Marco Balato, Carlo Petrarca
Summary: This article presents the development of an IoT smart sensor for monitoring partial discharges in underground substations. The sensor uses an ultrasonic receiver to detect discharges and adopts LoRaWAN as the transmission technology. The performance and reliability of the sensor have been evaluated through laboratory tests and on-field tests.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Electrical & Electronic
Annalisa Liccardo, Salvatore Tessitore, Francesco Bonavolonta, Sara Cristiano, Luigi Pio Di Noia, Giorgio Maria Giannuzzi, Cosimo Pisani
Summary: This article presents a novel method for detecting and analyzing inter-area oscillations on electric power transmission networks. The method uses the dynamic mode decomposition (DMD) algorithm to perform modal analysis, which ensures reliability even without prior information. The method has been tested with simulated and real signals, confirming its accuracy and reliability.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Computer Science, Information Systems
Rosario Schiano Lo Moriello, Annalisa Liccardo, Francesco Bonavolonta, Enzo Caputo, Antonio Gloria, Giorgio De Alteriis
Summary: Laboratory experiences are crucial for STEM education, but safety issues can limit practical experiments. The authors propose a mixed-reality solution combining augmented reality at the student's end and actual instrumentation at the laboratory's end, allowing remote control of measurement instruments and overcoming the limitations of lab activities.
Article
Engineering, Electrical & Electronic
Francesco Centurelli, Pietro Monsurro, Alessandro Trifiletti, Mauro D'Arco, Leopoldo Angrisani
Summary: Innovative digitizers combine analog and digital processing to achieve high bandwidth and sampling rate. Calibration is crucial for improving performance, and finite impulse response filtering is used for gain equalization and aliasing removal. This paper proposes a general method for identifying calibration filters and applying them to digitizers with different numbers of channels.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Electrical & Electronic
Annalisa Liccardo, Pasquale Arpaia, Francesco Bonavolonta, Enzo Caputo, Francesco de Pandi, Vito Gallicchio, Antonio Gloria, Rosario Schiano Lo Moriello
Summary: The restrictions of the current SARS-Cov-2 pandemic significantly impact various human activities and interactions, including education. To address the limited participation of students in laboratory activities due to safety reasons, this article proposes the use of IoT and fourth industrial revolution technologies. By utilizing remotely controlled instruments displayed in augmented reality on consumer devices, students can effectively engage in laboratory activities with continuous access and realistic representation.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
