An Efficient Method for Synthesizing Sparse Arrays With Well-Controlled Discrete Array Factors

This paper presents an efficient optimization algorithm for synthesizing the discrete array factor, which extends the optimization domain to the invisible region to mitigate aliasing effect, thereby achieving well-controlled radiation patterns. By further lowering the level of the sidelobes in part of the visible region, the algorithm allows to shape the radiation patterns of sparse arrays with desired characteristics, such as uniform main lobe ripples and low sidelobe levels. Some evanescent modes have been added to compensate for the additional degrees of freedom caused by the increased optimization range, so that the number of the extreme points to be controlled is still approximately equal to the number of degrees of freedom (NDF), maintaining the monotonic convergence property of the algorithm. Numerical examples and FEKO simulation results validate the effectiveness and the accuracy of the proposed method.

Authors

Institutions

Publication Details

Journal
IEEE journal on multiscale and multiphysics computational techniques
Published
2025-01-01
DOI
https://doi.org/10.1109/jmmct.2025.3602986
Primary Topic
DNA and Biological Computing
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

An Efficient Method for Synthesizing Sparse Arrays With Well-Controlled Discrete Array Factors

Ting Zang, Gaobiao Xiao
IEEE journal on multiscale and multiphysics computational techniques
DNA and Biological Computing
article

An Efficient Method for Synthesizing Sparse Arrays With Well-Controlled Discrete Array Factors

Ting Zang, Gaobiao Xiao
article en

Abstract

This paper presents an efficient optimization algorithm for synthesizing the discrete array factor, which extends the optimization domain to the invisible region to mitigate aliasing effect, thereby achieving well-controlled radiation patterns. By further lowering the level of the sidelobes in part of the visible region, the algorithm allows to shape the radiation patterns of sparse arrays with desired characteristics, such as uniform main lobe ripples and low sidelobe levels. Some evanescent modes have been added to compensate for the additional degrees of freedom caused by the increased optimization range, so that the number of the extreme points to be controlled is still approximately equal to the number of degrees of freedom (NDF), maintaining the monotonic convergence property of the algorithm. Numerical examples and FEKO simulation results validate the effectiveness and the accuracy of the proposed method.

IEEE journal on multiscale and multiphysics computational techniquesVol. 10
Shanghai Jiao Tong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 80%
DNA and Biological Computing
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.

An Efficient Method for Synthesizing Sparse Arrays With Well-Controlled Discrete Array Factors — Ting Zang, Gaobiao Xiao · IEEE journal on multiscale and multiphysics computational techniques (2025) | TGRS Research Map | TGRS