[图书][B] Introduction to microwave imaging
NK Nikolova - 2017 - books.google.com
With this self-contained, introductory text, readers will easily understand the fundamentals of
microwave and radar image generation. Written with the complete novice in mind, and …
microwave and radar image generation. Written with the complete novice in mind, and …
SEAGLE: Sparsity-driven image reconstruction under multiple scattering
Multiple scattering of an electromagnetic wave as it passes through an object is a
fundamental problem that limits the performance of current imaging systems. In this paper …
fundamental problem that limits the performance of current imaging systems. In this paper …
Parametric modeling of microwave passive components using sensitivity-analysis-based adjoint neural-network technique
SA Sadrossadat, Y Cao… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
This paper presents a novel sensitivity-analysis-based adjoint neural-network (SAANN)
technique to develop parametric models of microwave passive components. This technique …
technique to develop parametric models of microwave passive components. This technique …
Surface and volume integral equation methods for time-harmonic solutions of Maxwell's equations
P Yla-Oijala, J Markkanen, S Jarvenpaa… - Progress in …, 2014 - jpier.org
During the last two-three decades the importance of computer simulations based on
numerical full-wave solutions of Maxwell's has continuously increased in electrical …
numerical full-wave solutions of Maxwell's has continuously increased in electrical …
An early history of optimization technology for automated design of microwave circuits
JW Bandler, JE Rayas-Sánchez - IEEE Journal of Microwaves, 2022 - ieeexplore.ieee.org
This paper outlines the early history of optimization technology for the design of microwave
circuits—a personal journey filled with aspirations, academic contributions, and commercial …
circuits—a personal journey filled with aspirations, academic contributions, and commercial …
Parallel computational approach to gradient based EM optimization of passive microwave circuits
S Zhang, C Zhang, QJ Zhang - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Conventional EM optimization aims to use fewest possible fine model evaluations to
increase the speed of optimization. In this work, we propose to use a large number of fine …
increase the speed of optimization. In this work, we propose to use a large number of fine …
Adjoint EM sensitivity analysis for fast frequency sweep using matrix Padé via Lanczos technique based on finite-element method
Sensitivity analysis is important for electromagnetic (EM)-based design. The existing adjoint
EM sensitivity analysis methods have to solve large systems of EM equations repetitively for …
EM sensitivity analysis methods have to solve large systems of EM equations repetitively for …
Metamaterial absorber optimization method based on an artificial neural network surrogate
ZX Liu, J Jin, LJ Chen, JP Fu, H Lin - Optics Express, 2023 - opg.optica.org
Finding the optimal design parameters for the target EM response of a metamaterial
absorber is still a challenging task even if the layout of the absorber has been determined …
absorber is still a challenging task even if the layout of the absorber has been determined …
[PDF][PDF] An efficient framework for fast computer aided design of microwave circuits based on the higher-order 3D finite-element method
A Lamecki, L Balewski, M Mrozowski - Radioengineering, 2014 - researchgate.net
In this paper, an efficient computational framework for the full-wave design by optimization of
complex microwave passive devices, such as antennas, filters, and multiplexers, is …
complex microwave passive devices, such as antennas, filters, and multiplexers, is …
A novel surrogate-based approach to yield estimation and optimization of microwave structures using combined quadratic mappings and matrix transfer functions
Yield estimation and yield-driven design optimization play important roles in microwave
design. Existing surrogate-based yield estimation/optimization methods need to develop …
design. Existing surrogate-based yield estimation/optimization methods need to develop …