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 elem...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE communications letters Ročník 29; číslo 11; s. 2546 - 2550
Hlavní autoři: Cui, Lun, Zhou, Shi-Gang
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.11.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Active element patterns (AEPs)
Antenna arrays
Antennas
channel capacity
Coupling
Couplings
Finite element analysis
Genetic algorithms
Interpolation
Layout
MIMO
MIMO communication
multiple-input and multiple-output (MIMO) system
Mutual coupling
Optimization
Planar arrays
sparse array
Synthesis
Transmitting antennas
ISSN:1089-7798, 1558-2558
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2025.3602112