A Systematic Approach for Determining Transmitarray Specifications in Near‐Field Scenarios

ABSTRACT Manipulating near‐field electromagnetic wavefronts is crucial for hyperthermia, compact test range systems and wireless power transmission. This paper investigates a design methodology of transmitarrays for near‐field wavefront shaping. Unlike conventional methods that rely on trial and error or optimisation procedures, this approach establishes practical relationships to determine transmitarray specifications. At first, the achievable resolution is calculated based on the observation distance. Then, transmitarray specifications are calculated based on the number of observation points, observation distance and achievable resolution. This methodology enables a swift and precise design process by integrating the Moore–Penrose inverse technique and dyadic Green's functions (DGFs). Detailed examples demonstrate the effectiveness of this approach, achieving desired electromagnetic patterns while reducing complexities and design iterations. This work significantly advances the understanding and practical implementation of near‐field shaping techniques, particularly for applications requiring tailored electromagnetic patterns. Analytical and experimental results rigorously validate the problem formulation, confirming the proposed algorithm's capability and highlighting its potential for widespread application.

Authors

Institutions

Publication Details

Journal
IET Microwaves Antennas & Propagation
Published
2025-01-01
DOI
https://doi.org/10.1049/mia2.70027
Primary Topic
Advanced Antenna and Metasurface Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Systematic Approach for Determining Transmitarray Specifications in Near‐Field Scenarios

Sara Moinzad, Mahmoud Mohammad‐Taheri, J. Rashed‐Mohassel
IET Microwaves Antennas & Propagation
Advanced Antenna and Metasurface Technologies
article

A Systematic Approach for Determining Transmitarray Specifications in Near‐Field Scenarios

Sara Moinzad, Mahmoud Mohammad‐Taheri, J. Rashed‐Mohassel
article en

Abstract

ABSTRACT Manipulating near‐field electromagnetic wavefronts is crucial for hyperthermia, compact test range systems and wireless power transmission. This paper investigates a design methodology of transmitarrays for near‐field wavefront shaping. Unlike conventional methods that rely on trial and error or optimisation procedures, this approach establishes practical relationships to determine transmitarray specifications. At first, the achievable resolution is calculated based on the observation distance. Then, transmitarray specifications are calculated based on the number of observation points, observation distance and achievable resolution. This methodology enables a swift and precise design process by integrating the Moore–Penrose inverse technique and dyadic Green's functions (DGFs). Detailed examples demonstrate the effectiveness of this approach, achieving desired electromagnetic patterns while reducing complexities and design iterations. This work significantly advances the understanding and practical implementation of near‐field shaping techniques, particularly for applications requiring tailored electromagnetic patterns. Analytical and experimental results rigorously validate the problem formulation, confirming the proposed algorithm's capability and highlighting its potential for widespread application.

IET Microwaves Antennas & PropagationVol. 19(1)
University of Tehran (IR)
Openalex Percentile: Top 84%
Advanced Antenna and Metasurface Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.