A Study on Propagation Models for 60 GHz Signals in Indoor Environments

Souza, Letícia Carneiro de; Lopes, Celso Henrique de Souza; Santos, Rita de Cassia Carlleti dos; Sodré, Arismar Cerqueira; Mendes, Luciano Leonel

doi:10.3389/frcmn.2021.757842

Cited by 12 publications

(2 citation statements)

References 33 publications

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“…• mmMAGIC Indoor LOS [42]: This is designed specifically for frequencies in the range of 6-100 GHz and indoor scenarios with LOS like traditional enclosed offices, semi-closed offices (cubicle areas), and open offices.…”

Section: 3 Respectivelymentioning

confidence: 99%

A Review of Radio Frequency Based Localisation for Aerial and Ground Robots with 5G Future Perspectives

Kabiri

Cimarelli

Bavle

et al. 2022

Sensors

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Efficient localisation plays a vital role in many modern applications of Unmanned Ground Vehicles (UGV) and Unmanned Aerial Vehicles (UAVs), which contributes to improved control, safety, power economy, etc. The ubiquitous 5G NR (New Radio) cellular network will provide new opportunities to enhance the localisation of UAVs and UGVs. In this paper, we review radio frequency (RF)-based approaches to localisation. We review the RF features that can be utilized for localisation and investigate the current methods suitable for Unmanned Vehicles under two general categories: range-based and fingerprinting. The existing state-of-the-art literature on RF-based localisation for both UAVs and UGVs is examined, and the envisioned 5G NR for localisation enhancement, and the future research direction are explored.

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Section: 3 Respectivelymentioning

confidence: 99%

A Review of Radio Frequency Based Localisation for Aerial and Ground Robots with 5G Future Perspectives

Kabiri

Cimarelli

Bavle

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Although the 60 GHz band is used to improve the signal quality and network capacity, it has the disadvantage of higher atmospheric absorption and propagation losses (Oladimeji et al, 2022). As a result, its coverage area is limited, making it an ideal choice primarily for short-range indoor communications (Carneiro Souza et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Microstrip Patch Antenna Design With Enhanced Radiation Efficiency for 5g 60 GHZ Millimeter-Wave Systems

Irıqat,

Yenikaya

2024

UUJFE

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In this paper, a wideband, high-gain microstrip patch antenna design for 60 GHz applications is presented. The chosen substrate material is Rogers RT 5880, with a thickness of 1.6 mm, a relative permittivity of 2.2, and a loss tangent of 0.0009. Initially, a simple rectangular patch antenna is designed. To address the challenges of low gain and low radiation efficiency, two rectangular parasitic elements are introduced. These parasitic elements interact with the main radiator, resulting in improved gain and radiation efficiency. In the final step, an extended ground plane structure is adopted to further enhance return loss, radiation efficiency, and gain. The proposed antenna achieves a high gain of 13.10 dBi and a maximum radiation efficiency of 90% with a compact size of 13.6 × 10.6 mm2. For bandwidth calculations, given that the 60 GHz frequency band is known for its challenging propagation environment, the -15 dB criteria is chosen instead of the commonly used -10 dB criterion. According to this -15 dB criterion, the antenna exhibits wideband behavior spanning from 55 to 65 GHz, offering an impressive impedance bandwidth of 10 GHz. This design demonstrates significant potential for 60 GHz applications.

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Graph-Based vs. Error State Kalman Filter-Based Fusion of 5G and Inertial Data for MAV Indoor Pose Estimation

Kabiri,

Cimarelli,

Bavle

et al. 2024

J Intell Robot Syst

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Abstract5G New Radio Time of Arrival (ToA) data has the potential to revolutionize indoor localization for micro aerial vehicles (MAVs). However, its performance under varying network setups, especially when combined with IMU data for real-time localization, has not been fully explored so far. In this study, we develop an Error State Kalman Filter (ESKF) and a Pose Graph Optimization (PGO) approach to address this gap. We systematically evaluate the performance of the derived approaches for real-time MAV localization in realistic scenarios with 5G base stations in Line-Of-Sight (LOS), demonstrating the potential of 5G technologies in this domain. In order to experimentally test and compare our localization approaches, we augment the EuRoC MAV benchmark dataset for visual-inertial odometry with simulated yet highly realistic 5G ToA measurements. Our experimental results comprehensively assess the impact of varying network setups, including varying base station numbers and network configurations, on ToA-based MAV localization performance. The findings show promising results for seamless and robust localization using 5G ToA measurements, achieving an accuracy of 15 cm throughout the entire trajectory within a graph-based framework with five 5G base stations, and an accuracy of up to 34 cm in the case of ESKF-based localization. Additionally, we measure the run time of both algorithms and show that they are both fast enough for real-time implementation.

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A Study on Propagation Models for 60 GHz Signals in Indoor Environments

Cited by 12 publications

References 33 publications

A Review of Radio Frequency Based Localisation for Aerial and Ground Robots with 5G Future Perspectives

A Review of Radio Frequency Based Localisation for Aerial and Ground Robots with 5G Future Perspectives

Microstrip Patch Antenna Design With Enhanced Radiation Efficiency for 5g 60 GHZ Millimeter-Wave Systems

Graph-Based vs. Error State Kalman Filter-Based Fusion of 5G and Inertial Data for MAV Indoor Pose Estimation

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