SinoTechIntel Academic Portal
Official PDF TranslationFrontiers of Information Technology & Electronic Engineering

Port and radiation pattern decoupled metasurface-loaded patch antenna using deep-learning-assisted optimization for MIMO applications

Authors: Gu LIU; Jiajiang SHEN; Lei MA; Wei QIN; Wenwen YANG; Lei GUO; Jianxin CHEN

DOI: 10.1631/FITEE_2500119Status: Verified Translated Edition
Sponsored AdvertisementAd Placement Area
reCAPTCHA Bot Shield Active

Preparing Secure Academic Download

Verifying human reader & generating high-resolution document...

Verifying Document Integrity15s remaining
← Back to Article
Protected by Google reCAPTCHA v3.PrivacyTerms
Sponsored ContentAdSense In-Feed Ad Slot

Key Findings in This Report

• A deep-learning-assisted optimization method combining ANN and PSO enables simultaneous port and radiation pattern decoupling in a metasurface-loaded 1×2 patch array. • Measured isolation improved from 7.6 dB to 24.3 dB with an envelope correlation coefficient below 0.0005 at 0.35λ0 spacing. • The prototype achieves 8% fractional bandwidth (4.8–5.2 GHz) with a compact footprint of 0.88λ0 × 0.47λ0 × 0.21λ0. • Consistent and symmetric H-plane radiation patterns in the broadside direction make the antenna well suited for closely spaced MIMO systems.