A High-Performance Transmitarray Antenna with Thin Metasurface for 5G Communication Based on PSO (Particle Swarm Optimization).

PSO high gain metasurface (MS) side-lobe level (SLL) reduction transmitarray (TA) antenna

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
10 Aug 2020
Historique:
received: 02 07 2020
revised: 05 08 2020
accepted: 06 08 2020
entrez: 14 8 2020
pubmed: 14 8 2020
medline: 14 8 2020
Statut: epublish

Résumé

A 5G metasurface (MS) transmitarray (TA) feed by compact-antenna array with the performance of high gain and side-lobe level (SLL) reduction is presented. The proposed MS has two identical metallic layers etched on both sides of the dielectric substrate and four fixed vias connecting two metallic layers that works at 28 GHz to increase the transmission phase shift range. The proposed planar TA consisting of unit cells with different dimensional information can simulate the function as an optical lens according to the Fermat's principle, so the quasi-spherical wave emitted by the compact Potter horn antenna at the virtual focal point will transform to the quasi-plane wave by the phase-adjustments. Then, the particle swarm optimization (PSO) is introduced to optimize the phase distribution on the TA to decrease the SLL further. It is found that the optimized TA could achieve 27 dB gain at 28 GHz, 11.8% 3 dB gain bandwidth, -30 dB SLL, and aperture efficiency of 23% at the operating bandwidth of 27.5-29.5 GHz, which performs better than the nonoptimized one. The advanced particularities of this optimized TA including low cost, low profile, and easy to configure make it great potential in paving the way to 5G communication and radar system.

Identifiants

pubmed: 32785062
pii: s20164460
doi: 10.3390/s20164460
pmc: PMC7472495
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Natural Science Foundation of China
ID : 61973038

Auteurs

Chengtian Song (C)

School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.

Lizhi Pan (L)

School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.

Yonghui Jiao (Y)

School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.

Jianguang Jia (J)

Institute of Systems Engineering, AMS, PLA, Beijing 100091, China.

Classifications MeSH