Capacity-Driven Sparse Array Synthesis Considering Active Element Pattern for MIMO System

A capacity-driven sparse array synthesis method is proposed for multiple-input multiple-output (MIMO) systems, incorporating the effects of active element patterns (AEPs). Firstly, by using interpolation scheme method, the coupling function that describes the coupling and inter spacing of array elements is obtained. Then, the AEP with arbitrary position in an array can be derived based on the coupling function. Based on the AEPs, the channel matrix and capacity can be obtained. For specific number of antenna elements and aperture, capacity-driven synthesis to optimize the antenna element position with genetic algorithm is carried out. To verify the proposed method, both linear and planar antenna sparse array optimization is conducted. Results show that capacity of sparse array can be enhanced compared with that of uniform array.

Authors

Institutions

Publication Details

Journal
IEEE Communications Letters
Published
2025-08-25
DOI
https://doi.org/10.1109/lcomm.2025.3602112
Primary Topic
Antenna Design and Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Capacity-Driven Sparse Array Synthesis Considering Active Element Pattern for MIMO System

Lun Cui, Shi-Gang Zhou
IEEE Communications Letters
Antenna Design and Optimization
article

Capacity-Driven Sparse Array Synthesis Considering Active Element Pattern for MIMO System

Lun Cui, Shi-Gang Zhou
article en

Abstract

A capacity-driven sparse array synthesis method is proposed for multiple-input multiple-output (MIMO) systems, incorporating the effects of active element patterns (AEPs). Firstly, by using interpolation scheme method, the coupling function that describes the coupling and inter spacing of array elements is obtained. Then, the AEP with arbitrary position in an array can be derived based on the coupling function. Based on the AEPs, the channel matrix and capacity can be obtained. For specific number of antenna elements and aperture, capacity-driven synthesis to optimize the antenna element position with genetic algorithm is carried out. To verify the proposed method, both linear and planar antenna sparse array optimization is conducted. Results show that capacity of sparse array can be enhanced compared with that of uniform array.

IEEE Communications LettersVol. 29(11)
Northwestern Polytechnical University (CN)
National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 70%
Antenna Design and Optimization
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.