A compact mmWave MIMO Patch Antenna with On-Chip Integration for Real-Time Radar and Communication Fusion in Vehicular Environments

This paper presents a compact millimeter-wave (mmWave) MIMO patch antenna with on-chip beamforming integration for real-time radar and communication fusion in vehicular environments. The proposed design supports dual-band operation at 28 GHz and 39 GHz, enabling adaptive switching between vehicular radar and 5G V2X communication tasks. With beam steering capabilities of ±45°, the antenna demonstrates low mutual coupling, high gain, and efficient real-time adaptability via system-on-chip control. Performance is validated through comparative analysis using Matlab and HFSS simulation, confirming efficiency, reliability and suitability for dense vehicular environments.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-30
DOI
https://doi.org/10.5281/zenodo.17384835
Primary Topic
Cell Image Analysis Techniques
Type
article
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article

A compact mmWave MIMO Patch Antenna with On-Chip Integration for Real-Time Radar and Communication Fusion in Vehicular Environments

Zenodo (CERN European Organization for Nuclear Research)
Cell Image Analysis Techniques
article

A compact mmWave MIMO Patch Antenna with On-Chip Integration for Real-Time Radar and Communication Fusion in Vehicular Environments

article en

Abstract

This paper presents a compact millimeter-wave (mmWave) MIMO patch antenna with on-chip beamforming integration for real-time radar and communication fusion in vehicular environments. The proposed design supports dual-band operation at 28 GHz and 39 GHz, enabling adaptive switching between vehicular radar and 5G V2X communication tasks. With beam steering capabilities of ±45°, the antenna demonstrates low mutual coupling, high gain, and efficient real-time adaptability via system-on-chip control. Performance is validated through comparative analysis using Matlab and HFSS simulation, confirming efficiency, reliability and suitability for dense vehicular environments.

Zenodo (CERN European Organization for Nuclear Research)
Oakland University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 30%
Cell Image Analysis Techniques
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