Numerical Solution of the Eikonal and Transport Equations for GRIN Lens Antennas by Using the Lax–Friedrichs Sweeping Method

Geometrical Optics (GO) analysis of Graded-Index (GRIN) lenses involves tracing curved rays through inhomogeneous media and solving transport equations to determine the field distribution at the lens output. While efficient GO ray-tracing algorithms are quite fast, they are complex to implement and suffer from caustic problems. Moreover, GO lacks spatial continuity and predefined spatial meshes, making it unsuitable for automatic post-processing in optimization schemes. In this paper, we introduce a novel algorithm for analyzing inhomogeneous lenses by numerically solving the Eikonal and transport equations on a computational grid, bypassing the need for ray tracing. This approach utilizes a numerical technique known as the sweeping method, which iteratively updates the solution to the governing equations across the grid. The sweeping process involves traversing the grid in alternating directions, ensuring convergence by considering boundary conditions and neighboring grid points through Gauss-Seidel iterations. The algorithm presented here is the Lax-Friedrichs Sweeping Method (LFSM), notable for its innovative approach to solving the factored Eikonal and transport equations. This method enables the precise computation of the Eikonal Laplacian term, thereby enhancing the accuracy of the amplitude calculation. Its implementation surpasses traditional ray-tracing in speed, accuracy, computational efficiency, and robustness. For GRIN lens analysis using LFSM, the required inputs are a computational grid, a refractive index map, and the source type and location. This paper details the algorithm’s implementation and validates its effectiveness through analytical benchmarks and practical examples, including a telescopic lens antenna and a spaceborne weather radar lens antenna.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Antennas and Propagation
Published
2025-05-29
DOI
https://doi.org/10.1109/tap.2025.3572618
Citations
1
Primary Topic
Antenna Design and Optimization
Type
article
Field-Weighted Citation Impact
4.99

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical Solution of the Eikonal and Transport Equations for GRIN Lens Antennas by Using the Lax–Friedrichs Sweeping Method

S. Maci, Matteo Albani, Ilir Gashi
1 citations
IEEE Transactions on Antennas and Propagation
Antenna Design and Optimization
4.99
article

Numerical Solution of the Eikonal and Transport Equations for GRIN Lens Antennas by Using the Lax–Friedrichs Sweeping Method

S. Maci, Matteo Albani, Ilir Gashi
article en
1 citations

Abstract

Geometrical Optics (GO) analysis of Graded-Index (GRIN) lenses involves tracing curved rays through inhomogeneous media and solving transport equations to determine the field distribution at the lens output. While efficient GO ray-tracing algorithms are quite fast, they are complex to implement and suffer from caustic problems. Moreover, GO lacks spatial continuity and predefined spatial meshes, making it unsuitable for automatic post-processing in optimization schemes. In this paper, we introduce a novel algorithm for analyzing inhomogeneous lenses by numerically solving the Eikonal and transport equations on a computational grid, bypassing the need for ray tracing. This approach utilizes a numerical technique known as the sweeping method, which iteratively updates the solution to the governing equations across the grid. The sweeping process involves traversing the grid in alternating directions, ensuring convergence by considering boundary conditions and neighboring grid points through Gauss-Seidel iterations. The algorithm presented here is the Lax-Friedrichs Sweeping Method (LFSM), notable for its innovative approach to solving the factored Eikonal and transport equations. This method enables the precise computation of the Eikonal Laplacian term, thereby enhancing the accuracy of the amplitude calculation. Its implementation surpasses traditional ray-tracing in speed, accuracy, computational efficiency, and robustness. For GRIN lens analysis using LFSM, the required inputs are a computational grid, a refractive index map, and the source type and location. This paper details the algorithm’s implementation and validates its effectiveness through analytical benchmarks and practical examples, including a telescopic lens antenna and a spaceborne weather radar lens antenna.

IEEE Transactions on Antennas and PropagationVol. 73(9)
University of Siena (IT)
Huawei Technologies
Openalex Percentile: Top 6%
Antenna Design and Optimization
4.99
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.

Numerical Solution of the Eikonal and Transport Equations for GRIN Lens Antennas by Using the Lax–Friedrichs Sweeping Method — S. Maci, Matteo Albani, et al. · IEEE Transactions on Antennas and Propagation (2025) | TGRS Research Map | TGRS