Article
Engineering, Electrical & Electronic
Mohamed A. Elmansouri, Gaeron R. Friedrichs, Ljubodrag B. Boskovic, Dejan S. Filipovic
Summary: The paper presents a thinned 8 x 8 singly polarized all-metal Vivaldi phased array designed and optimized using a genetic algorithm. Experimental and numerical results show that the thinned phased array exhibits reduced peak SLL, high aperture efficiency, and low total losses. The analysis and results pave the way for thinning large tightly coupled arrays, reducing the number of required T/R modules while achieving desired far-field improvement.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2021)
Article
Engineering, Electrical & Electronic
Lu Sun
Summary: This paper presents an improved binary brain storm optimization (ImBBSO) method for pattern synthesis of linear thinned array. By modifying clustering centers selection, forced bit transposition mechanism, and population survival based on the original binary brain storm optimization (BBSO) algorithm, the proposed method achieves global optimization and avoids local convergence. The cost function balances the relationship among the number of active elements, the peak sidelobe level, and the half power beam width, resulting in the best balance state after iterations. Additionally, the integration of subarray partition strategy expands the applicability of the proposed method in engineering fields with space restrictions.
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Sang-Hoon Jung, Kang-In Lee, Hyun-Su Oh, Hyun-Kyo Jung, Hoongee Yang, Young-Seek Chung
Summary: A hybrid genetic algorithm (GA) combining moving least squares (MLS) is proposed for thinning a two-dimensional planar array, improving convergence rate and global search performance. MLS method estimates local interpolation functions from sample data to find better populations for enhanced search performance, achieving faster convergence compared to conventional GA. Nonlinear chirp function is used for efficient thinning design, and the MLS-GA is validated through testing on various array designs.
JOURNAL OF ELECTROMAGNETIC ENGINEERING AND SCIENCE
(2021)
Article
Engineering, Electrical & Electronic
Peng-Fa Li, Shi-Wei Qu, Shiwen Yang, Jun Hu
Summary: In this article, a novel approach combining active cancellation and array thinning techniques is proposed to reduce the scattering cross section (SCS) and lower sidelobe level (SLL) as well as the cost of a phased array. Two planar microstrip phased arrays are designed to validate the concept, and the results show significant improvements in SCS and SLL reduction.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Article
Computer Science, Interdisciplinary Applications
Xu Yang, Feng Yang, Yanhong Hong, Yankai Ma, Shiwen Yang
Summary: This article proposes a numerical stochastic optimization approach based on the multiagent genetic algorithm for the synthesis of highly thinned arrays. By introducing two modified techniques, the balance between exploration and exploitation ability is improved, resulting in attractive results in various array synthesis problems.
INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING
(2021)
Article
Computer Science, Information Systems
Zibin Weng, Dan Yang, Kaibin Xue
Summary: A one-dimensional mono-pulse microstrip antenna is essential for target detection, tracking, recognition, and imaging. However, the large size caused by feeding and coupling hinders miniaturization and integration. To address this issue, a miniaturized mono-pulse antenna with a compact size and good isolation is proposed.
Article
Thermodynamics
Iman Khatami, Mohammad Yaghoub Abdollahzadeh Jamalabadi
Summary: This study investigated an optimized-microphone array configuration based on a genetic algorithm to improve the map resolution of output beamforming, with simulation and experimental studies confirming its applicability. The results demonstrated that the GA configuration showed higher resolution compared to regular and random configurations, with improved spatial resolution and robustness of solution seen in hemi-anechoic experiments.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Engineering, Electrical & Electronic
Ruolei Xu, Zhi Ning Chen
Summary: The proposed metasurface lens array fed by a phased array offers a compact solution for beamsteering applications with reduced thickness and cost. Beamsteering is achieved in two steps, first by switching the main beam direction over a large angular step, and then fine tuning with a low-cost phased array. The antenna design achieves a wide coverage range with high gain and low profile compared to conventional arrays and single-aperture lenses.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2021)
Article
Engineering, Electrical & Electronic
Jaebaek Jung, Woojun Lee, Gyuha Lee, Songcheol Hong, Jungsuek Oh
Summary: In this study, a ultra-thinned metasurface-cased antenna-in-package (MCAiP) for a mm-wave 5G smartphone is presented. The MCAiP achieves a wide return-loss bandwidth and high gain, while the metasurface enhances the beam coverage of the antenna.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
Article
Engineering, Electrical & Electronic
Arman Afsari, Amin M. Abbosh, Yahya Rahmat-Samii
Summary: This paper discusses how to control the radiation pattern of different angular sectors by optimizing the excitation amplitude and phase of array elements in adaptive beamforming with compact arrays. An evolutionary optimization method is proposed to minimize the objective function, addressing the convergence issue in existing methods for large array sizes. A new optimization strategy is introduced to improve beamforming performance through polynomial decomposition and optimization of zero locations.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Article
Engineering, Electrical & Electronic
Cheng-Zhang Li, Hai-Ming Li
Summary: This paper introduces a sparse array synthesis method based on IWDO algorithm and FFT for sidelobe suppression, achieving better performance through optimizing the amplitude excitation weighting of array elements. By utilizing minimum peak sidelobe level as the fitness function, the proposed method outperforms the classic Chebyshev weighting method in simulation results.
JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Zhen-Xing Xia, Kwok Wa Leung, Nan Yang, Kai Lu
Summary: The study investigates a dual-fed dual-frequency shared-aperture antenna array with a large frequency ratio, consisting of microwave ground-surrounded patch antenna and millimeter-wave slot antenna subarray. A prototype with C-band 2 x 2 patch antenna array and Ka-band 8 x 8 slot antenna array was designed, fabricated, and tested, showing good matching and radiation characteristics with over 32 dB of measured intraband isolations.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2021)
Article
Engineering, Electrical & Electronic
Dong Zhu, Peiwen Tang, Hailiang Lu, Liang Lang, Fei Hu
Summary: This letter discusses the importance of linear array design in interferometric aperture synthesis radiometer (IASR) for system reliability, including resistance to interference, reliability performance in the case of element damage, spatial resolution, and radiometric sensitivity. By establishing a model and applying a multiobjective optimization method, the effectiveness of the designed array configurations was verified through simulation results.
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
(2021)
Article
Multidisciplinary Sciences
Vikrant Singh, Mohsen Khalily, Rahim Tafazolli
Summary: This article introduces a new technology for beyond 5G networks, which is a compact antenna system capable of beam-switching in the azimuth plane. The design offers a digitally controllable directional radiation pattern and is suitable for various IoT applications.
Article
Engineering, Multidisciplinary
Ahmed M. M. Elkhawaga, Nessim M. M. Mahmoud, Mustafa M. H. Abd Elnaby, Amr H. Hussein
Summary: In this paper, a new hybrid beamforming approach based on the 2D convolution and genetic algorithm (GA) is proposed for reducing side lobe level (SLL) and size of planar antenna arrays (PAA). The approach uses convolution algorithm to determine element excitations and genetic algorithm to optimize element spacing. Two beamforming approaches, single-stage (SC/GA) and double-stage (DC/GA), are derived from the proposed approach. Both approaches provide high dynamic range ratios (DRR), which can be addressed by taking middle excitations or performing array thinning. The proposed approaches are validated using computer simulation technology (CST) microwave package.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Review
Computer Science, Interdisciplinary Applications
Alireza Shourangiz-Haghighi, Mohammad Amin Haghnegahdar, Lin Wang, Marco Mussetta, Athanasios Kolios, Martin Lander
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2020)
Article
Automation & Control Systems
Sonia Leva, Marco Mussetta, Emanuele Ogliari
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2019)
Article
Energy & Fuels
Simone Sala, Alfonso Amendola, Sonia Leva, Marco Mussetta, Alessandro Niccolai, Emanuele Ogliari
Article
Computer Science, Information Systems
Alfredo Nespoli, Marco Mussetta, Emanuele Ogliari, Sonia Leva, Luis Fernandez-Ramirez, Pablo Garcia-Trivino
Article
Mathematics
Alessandro Niccolai, Francesco Grimaccia, Marco Mussetta, Alessandro Gandelli, Riccardo Zich
Article
Energy & Fuels
Gabriel Mendonca de Paiva, Sergio Pires Pimentel, Bernardo Pinheiro Alvarenga, Enes Goncalves Marra, Marco Mussetta, Sonia Leva
Article
Computer Science, Interdisciplinary Applications
Muhammad Mansoor, Francesco Grimaccia, Sonia Leva, Marco Mussetta
Summary: The accurate load forecasting is crucial for designing Demand Response programs in smart grids, with Artificial Neural Network (ANN) based techniques playing a key role in predicting load accuracy for commercial, industrial, and residential consumers. This research compares two ANN-based load forecasting techniques, FFNN and ESN, on a dataset related to commercial buildings for potential DR program application, assessing the results based on load forecasting accuracy and defined metrics.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2021)
Article
Green & Sustainable Science & Technology
Mohamed Louzazni, Sameer Al-Dahidi, Marco Mussetta
Article
Computer Science, Information Systems
Alberto Dolara, Sonia Leva, Giacomo Moretti, Marco Mussetta, Yales Romulo de Novaes
Summary: Electric mobility is a game changing technology for the long-term sustainability of the transportation sector. A model to simulate an Electric Vehicle for Formula SAE Electric competition has been proposed, with the implementation of all subsystems and hybrid storage of Li-ion batteries and Ultra-Capacitors for kinetic energy recovery. The use of a bidirectional DC-DC resonant converter for the Kinetic Energy Recovery System (KERS) is discussed, showing operational limits and the capability to operate under resonant mode in both boost and buck mode.
Proceedings Paper
Green & Sustainable Science & Technology
Francesco Grimaccia, Marco Mussetta, Alessandro Niccolai, Venkataramana Veeramsetty, Dongari Rakesh Chandra
Summary: Electric load forecasting is crucial for Distribution System Operators (DSOs) to deal with the increasing penetration of renewable energy sources (RES). In this study, the combined use of Recurrent Neural Networks and Principal Component Analysis techniques is validated to ensure the forecasting capability of electrical loads.
2022 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2022 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Muhammad Mansoor, Francesco Grimaccia, Marco Mussetta
2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)
(2020)
Article
Computer Science, Information Systems
Sonia Leva, Alfredo Nespoli, Silvia Pretto, Marco Mussetta, Emanuele Giovanni Carlo Ogliari
Article
Energy & Fuels
Mohamed Louzazni, Ahmed Khouya, Khalid Amechnoue, Marco Mussetta, Aurelian Craciunescu
INTERNATIONAL JOURNAL OF AMBIENT ENERGY
(2020)
Proceedings Paper
Energy & Fuels
M. Q. Duong, H. H. Nguyen, T. Le, Marco Mussena
2019 IEEE MILAN POWERTECH
(2019)
Proceedings Paper
Energy & Fuels
Sonia Leva, Marco Mussetta, Alfredo Nespoli, Emanuele Ogliari
2019 IEEE MILAN POWERTECH
(2019)
