International Journal of Antennas and Propagation

Electromagnetic Wave Sensing in Complex Scenarios: Scattering Models and Applications


Status
Published

1National Research Council (CNR), Napoli, Italy

2University of Naples Federico II, Napoli, Italy

3University of Genoa, Genova, Italy

4Alyotech France, Rennes, France


Electromagnetic Wave Sensing in Complex Scenarios: Scattering Models and Applications

Description

Recent progress in wave sensing techniques and technologies has resulted in the development of applications in disparate fields, including radar imaging, remote sensing, and communication. Within this context, electromagnetic modeling plays an important role, since scattering models have explicitly or implicitly been used in wave sensing applications or integrated within the inherent signal processing schemes. Scattering models, as abstractions of the real world given in terms of computable mathematical functions, are effective according to their predictive capabilities in describing the wave interaction phenomenon under investigation. Depending on the adopted methodological approach, scattering models may be analytical or numerical, continuous or discrete, and either deterministic or stochastic, with some of them being more appropriate, in terms of accuracy and computational cost, for a specific application scenario. Scattering modeling, pertaining to either man-made or natural complex structures or environments, extends to the vast field of practical sensing applications, thus still posing challenging problems of theoretical, computational, and experimental relevance.

This special issue aims at highlighting recent advancements, development, and applications relevant to electromagnetic wave sensing in complex scenarios, with a special emphasis on the scattering modeling. We solicit papers describing challenging conceptual and practical problems, thus embracing theoretical modeling, novel methodological frameworks, numerical simulation and inversion, and experimental and data validation, with application to radar imaging, communication, remote sensing, geophysical and biomedical media, and nondestructive testing. Studies that contribute to a better understanding of interrelations among the real world, conceptual models and computer simulations are also encouraged. We invite researchers to contribute original research articles as well as review articles.

Potential topics include but are not limited to the following:

  • Electromagnetic direct and inverse problems in complex scenarios
  • Formulations for electromagnetic modeling in various regimes (asymptotic, perturbative, etc.)
  • Scattering and propagation in layered structures
  • Random surfaces and random media
  • Stochastic and fractal based modeling
  • Efficient numerical approaches for electromagnetic scattering
  • Radar applications and imaging techniques

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 4616571
  • - Editorial

Electromagnetic Wave Sensing in Complex Scenarios: Scattering Models and Applications

Pasquale Imperatore | Antonio Iodice | ... | Nicolas Pinel
  • Special Issue
  • - Volume 2018
  • - Article ID 6768306
  • - Research Article

Replacement of Ensemble Averaging by the Use of a Broadband Source in Scattering of Light from a One-Dimensional Randomly Rough Interface between Two Dielectric Media

Alexei A. Maradudin | Ingve Simonsen
  • Special Issue
  • - Volume 2017
  • - Article ID 7513239
  • - Review Article

Modelling Scattering of Electromagnetic Waves in Layered Media: An Up-to-Date Perspective

Pasquale Imperatore | Antonio Iodice | ... | Nicolas Pinel
  • Special Issue
  • - Volume 2017
  • - Article ID 9845050
  • - Research Article

Application of a Sparsity Pattern and Region Clustering for Near Field Sparse Approximate Inverse Preconditioners in Method of Moments Simulations

Carlos Delgado | Javier Moreno | Felipe Cátedra
  • Special Issue
  • - Volume 2017
  • - Article ID 2753794
  • - Research Article

Electromagnetic Scattering of Electrically Large Ship above Sea Surface with SBR-SDFM Method

Lixin Guo | Tiantian Feng
  • Special Issue
  • - Volume 2017
  • - Article ID 3098198
  • - Research Article

Research on Spatial Channel Model for Vehicle-to-Vehicle Communication Channel in Roadside Scattering Environment

Xin Chen | Yong Fang | ... | Liang Zhou
  • Special Issue
  • - Volume 2017
  • - Article ID 2847094
  • - Research Article

An Efficient Hybrid Method for 3D Scattering from Inhomogeneous Object Buried beneath a Dielectric Randomly Rough Surface

Hong-jie He | Li-xin Guo | Wei Liu
  • Special Issue
  • - Volume 2017
  • - Article ID 8243490
  • - Research Article

Modeling and Characterization of the Uplink and Downlink Exposure in Wireless Networks

Anis Krayni | Abdelhamid Hadjem | ... | Joe Wiart
International Journal of Antennas and Propagation
 Journal metrics
Acceptance rate30%
Submission to final decision64 days
Acceptance to publication33 days
CiteScore2.300
Impact Factor1.207
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