Article
Engineering, Electrical & Electronic
Yixiang Niu, Guoqiang Han
Summary: A novel undersampled raster (USR) scan pattern is proposed in this article, which shows higher imaging efficiency compared to existing scan patterns. Experimental results demonstrate that the USR scan combined with Total Variation Minimization by Augmented Lagrangian and Alternating Direction Algorithm (TVAL3) achieves better imaging quality. The universality of this imaging scheme is verified through various samples.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Computer Science, Artificial Intelligence
Walid Osamy, Ahmed Aziz, Ahmed M. Khedr
Summary: The paper introduces an effective deterministic clustering based CS scheme (DCCS) to handle the data acquisition problem in fog-supported heterogeneous WSNs. This scheme utilizes CS at each sensor node to minimize overall energy expenditure and prolong IoT network lifetime, along with an algorithm for CS reconstruction called Random Selection Matching Pursuit (RSMP) to enhance recovery at the base station side.
PEERJ COMPUTER SCIENCE
(2021)
Article
Acoustics
Jan Kirchhof, Sebastian Semper, Christoph W. Wagner, Eduardo Perez, Florian Roemer, Giovanni Del Galdo
Summary: In ultrasound nondestructive testing, synthetic aperture measurements are commonly used to detect and locate defects in specimens, with imaging often performed using the synthetic aperture focusing technique (SAFT). However, resolution with SAFT is suboptimal and parametric reconstruction algorithms offer better resolution but are computationally expensive. Strategies to reduce measurement data and optimize reconstruction algorithms are explored in the literature and tested numerically for defect localization. These approaches show potential for high-resolution reconstructions with minimal measurement data.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2021)
Article
Geochemistry & Geophysics
Zihan Luo, Jing Liang, Jie Ren
Summary: Compressive sensing is widely used in UWB sensor systems, but faces challenges in accurately reconstructing volatile signals like soil data. The proposed DL-based CS algorithm (SFDLCS) significantly improves the reconstruction accuracy by utilizing the correlation of nonzero elements in the sensor signal.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Computer Science, Artificial Intelligence
Mehmet Yamac, Ugur Akpinar, Erdem Sahin, Moncef Gabbouj, Serkan Kiranyaz
Summary: Efforts in compressive sensing (CS) literature can be categorized into finding a measurement matrix that preserves compressed information effectively and finding a reliable reconstruction algorithm. While traditional CS methods use random matrices and iterative optimizations, recent deep learning-based solutions accelerate recovery and improve accuracy. However, jointly learning the entire measurement matrix remains challenging. This work introduces a separable multi-linear learning method for the CS matrix, which improves performance compared to block-wise CS, especially at low measurement rates.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2023)
Article
Microscopy
Guoqiang Han, Yongjian Chen, Teng Wu, Huaidong Li, Jian Luo
Summary: This paper proposes a novel adaptive CS-AFM imaging scheme, which generates low resolution images through fast scanning and performs bicubic interpolation to obtain high resolution images. An advanced detection algorithm is used for accurate detection and positioning of objects. Adaptive sampling and image reconstruction are achieved through supplementary scanning. The proposed scheme is characterized by high automation, short time, and high quality.
Article
Engineering, Civil
Jie Sun, Shijie Liu, Fumin Zhang, Aijun Song, Jiancheng Yu, Aiqun Zhang
Summary: This article introduces a KCS approach for reconstructing acoustic fields using measurements from underwater mobile sensing platforms, which leverages the kriging method to obtain initial estimates and combines them with measurements for reconstruction. Weight coefficients for virtual samples are determined using kriging variance to differentiate between real measurements and virtual samples, resulting in improved reconstruction performance as demonstrated in simulation results and real measurements.
IEEE JOURNAL OF OCEANIC ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
Maryam Norouzi, Nasser Masoumi, Hamid Jahed
Summary: This article introduces a new methodology for structural health monitoring using a passive microwave sensor, demonstrating the detection of cracks on metallic structures. By comparing the phase parameter of signals reflected from damaged and undamaged metals, the method offers a potentially submillimeter-width crack detection through smart structures. The vision is to provide a chipless, low-cost sensor with increased detection reliability and durability in harsh environments.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Electrical & Electronic
Guolong Chen, Ji Wei, Shuaishuai Zhang, Wei Gao, Wuyin Jin, Le Fan
Summary: This research proposes a novel flexible eddy current probe technology, fractal EC sensor technology, to improve crack detection performance. By changing the coil structure of the probe, the consistency in detecting different orientations of short cracks is enhanced, and passive amplification of the signal is achieved by covering a layer of flexible sheet doped with pure iron particles on the probe.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Shuming Xiao, Ye Zhang, Xuling Chang
Summary: The feasibility of the compressive sensing-based optical remote sensing imaging system has been verified through numerical simulations. This article proposes an innovative pipeline approach to perform ship detection tasks directly on the compressive measurements, avoiding the reconstruction process. The CS-CenterNet algorithm, based on a convolutional neural network, optimizes the compression sampling phase and ship detection phase to achieve high-accuracy ship detection.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Acoustics
Ming Zan, Zhongming Xu, Linsen Huang, Zhonghua Tang, Zhifei Zhang, Yansong He
Summary: This paper proposes a block Bayesian compressive sensing method based on the equivalent source method to improve the sound source reconstruction performance under low signal-to-noise ratios. Numerical results and experiments validate the effectiveness and practicality of this method, which can achieve wideband reconstruction and maintain stable reconstruction performance.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Computer Science, Artificial Intelligence
Di You, Jian Zhang, Jingfen Xie, Bin Chen, Siwei Ma
Summary: In this paper, a novel COntrollable Arbitrary-Sampling neTwork (COAST) is proposed to solve CS problems of arbitrary-sampling matrices with one single model, achieving good interpretability under an optimization-inspired deep unfolding framework. The COAST utilizes a random projection augmentation strategy and controllable proximal mapping module to promote training diversity and eliminate blocking artifacts, respectively, showcasing state-of-the-art performance with fast speed on benchmark datasets.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2021)
Article
Computer Science, Artificial Intelligence
Zan Chen, Wenlong Guo, Yuanjing Feng, Yongqiang Li, Changchen Zhao, Yi Ren, Ling Shao
Summary: This paper proposes a CS reconstruction method that combines deep-learned regularization term and proximal operator to solve image reconstruction problems. By utilizing a residual network and channel attention network, adaptive proximal selection strategy, as well as self-ensemble strategy, the proposed method achieves more accurate reconstruction results compared to competing methods.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2021)
Article
Engineering, Electrical & Electronic
Zhao Pan, Shan Wang, Pengcheng Li, Yuyan Zhang, Yintang Wen
Summary: This paper presents an optimization method to improve the image quality of planar array capacitance imaging technology, which focuses on optimizing the sensitive region to enhance the image reconstruction. The results show that the proposed method can effectively reduce the error of reconstructed images and improve the anti-noise ability of the images.
SENSORS AND ACTUATORS A-PHYSICAL
(2021)
Article
Computer Science, Artificial Intelligence
Mehmet Yamac, Mete Ahishali, Serkan Kiranyaz, Moncef Gabbouj
Summary: This study proposes a novel approach for support estimation of a sparse signal by learning to map non-zero locations from denser measurements. The proposed convolutional sparse support estimator networks (CSENs) are designed to achieve state-of-the-art performance levels with reduced computational complexity.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Andreas Ericsson, Daniel Sjoberg, Giampiero Gerini, Cecilia Cappellin, Frank Jensen, Peter Balling, Nelson J. G. Fonseca, Peter de Maagt
Summary: An antenna system using CPSS was proposed to achieve CP equivalent to LP reflectors. The CPSS characteristics were computed through full-wave simulations and reflector surface shapes were optimized in TICRA POS software. Experimental results highlighted challenges in producing electrically large multilayer curved surfaces.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2021)
Article
Physics, Applied
Johan Lundgren, Mats Gustafsson, Daniel Sjoeberg, Martin Nilsson
Summary: A technique has been developed to measure low-power electromagnetic fields from mm-wave devices non-intrusively by combining a metasurface and an infrared camera. This setup allows for real-time imaging of incident electromagnetic fields and provides a general visualization of electromagnetic fields in a live setting.
APPLIED PHYSICS LETTERS
(2021)
Article
Engineering, Electrical & Electronic
Johan Lundgren, Jakob Helander, Mats Gustafsson, Daniel Sjoberg, Bo Xu, Davide Colombi
Summary: This article introduces a cutting-edge near-field measurement technique for assessing 5G portable devices, which requires source reconstruction and two sets of measurements for accuracy, and compares computed power density with simulations to validate the technique's effectiveness.
IEEE ANTENNAS AND PROPAGATION MAGAZINE
(2021)
Article
Engineering, Electrical & Electronic
Casimir Ehrenborg, Mats Gustafsson, Miloslav Capek
Summary: This study investigates the optimal spectral efficiency and number of independent channels for MIMO antennas in isotropic multipath channels under bandwidth requirements. By modeling the problem as a convex optimization problem and simulating antennas using method of moments, it is found that the solution is solely dependent on the eigenvalues of the antenna's energy modes. It is proposed that the number of energy modes below a given Q-factor can be used to estimate the degrees of freedom for that Q-factor.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2021)
Article
Optics
Lukas Jelinek, Mats Gustafsson, Miloslav Capek, Kurt Schab
Summary: Fundamental bounds on the performance of monochromatic scattering-cancellation and field-zeroing cloaks made of prescribed linear passive materials occupying a predefined design region are formulated and numerically tested using quadratically constrained quadratic programming, revealing that the use of low-loss materials with high dielectric contrast provides the highest potential for effective cloaking.
Article
Engineering, Electrical & Electronic
Vit Losenicky, Lukas Jelinek, Miloslav Capek, Mats Gustafsson
Summary: This article develops hybrid computational schemes that combine the advantages of the method of moments formulation of a field integral equation and T-matrix method. The performance of the method is tested on a spherical multilayer model of the human head, demonstrating its superiority compared to conventional approaches.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Article
Engineering, Electrical & Electronic
Miloslav Capek, Johan Lundgren, Mats Gustafsson, Kurt Schab, Lukas Jelinek
Summary: Characteristic modes are derived using the scattering dyadic, which connects incident plane waves to the scattered far-fields generated by objects with different material compositions. Numerical methods for constructing the scattering dyadic are demonstrated using full-wave electromagnetic solvers for various dielectric and magnetic materials. Supplementary material includes wrapper functions for computing characteristic modes in method-of-moments, finite-difference time domain, and finite-element solvers.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
Article
Engineering, Electrical & Electronic
Mats Gustafsson, Lukas Jelinek, Kurt Schab, Miloslav Capek
Summary: This article presents a unified method for characteristic mode decomposition in all method-of-moment formulations of free-space scattering, based on the algebraic relationship between impedance and transition matrices. It extends the application domain of characteristic mode decomposition to other frequency-domain solvers and provides high numerical dynamics and stability.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Article
Engineering, Electrical & Electronic
Mats Gustafsson, Lukas Jelinek, Kurt Schab, Miloslav Capek
Summary: This article is the second part of a series on characteristic mode decomposition unification, focusing on modal tracking, interpolation, and the role of ohmic losses. Numerical examples based on surface-based method-of-moment (MoM) formulations are presented. The article introduces a new tracking algorithm based on the algebraic properties of the transition matrix, which achieves high precision with a low number of frequency samples. Furthermore, the transition matrix is utilized to demonstrate that characteristic mode decomposition of lossy objects fails to deliver orthogonal far-fields and to illustrate how characteristic modes can be evaluated using the finite element method (FEM).
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Article
Engineering, Electrical & Electronic
Niklas Wingren, Daniel Sjoberg
Summary: Nondestructive testing (NDT) is important for composite materials in aerospace applications, and millimeter-wave (mm-wave) imaging is increasingly used. This paper presents an mm-wave imaging method with an inverse approach for NDT of singly curved composite panels. The method generates high-resolution images with less background clutter compared to traditional Fourier imaging methods.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
Article
Optics
Kurt Schab, Lukas Jelinek, Miloslav Capek, Mats Gustafsson
Summary: Upper bounds on the focusing efficiency of aperture fields and lens systems are proposed using integral equation representations of Maxwell's equations and Lagrangian duality. Two forms of focusing efficiency based on lens exit plane fields and optimal polarization currents are considered. The bounds are compared with classical prescriptions and inverse design lenses, showing that unbounded focusing efficiency can be achieved with lens exit plane fields. Additionally, aperture fields based on time-reversal do not necessarily yield optimal lens focusing efficiency in near-field focusing.
Article
Engineering, Electrical & Electronic
Johan Lundgren, Kurt Schab, Miloslav Capek, Mats Gustafsson, Lukas Jelinek
Summary: An iterative algorithm is used to construct approximate representations of scattering matrices for arbitrary objects. This method allows for faster computation compared to traditional methods and is compatible with various full-wave solvers. It is applied to the characteristic mode decomposition of obstacles with arbitrary shapes and materials, and its performance is demonstrated using commercial software packages.
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Ben A. P. Nel, Anja K. Skrivervik, Mats Gustafsson
Summary: Antenna bounds are useful for assessing antenna design feasibility and performance. This article presents tight lower bounds on microstrip patch antennas with infinite dielectric substrate, which are significantly tighter than the Chu limit and introduce a new scaling rule. The bounds consider all possible geometries and show that well-known patch antennas have near-optimal bandwidth. The computation of the bounds is done using a method of moments (MoM) formulation, and an approximation using commonly available simulation tools is provided.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
