IEEE Open Journal of Antennas and Propagation

Wireless channel properties in industrial environments can differ from residential or office settings due to the considerable impact of heavy machinery that triggers intricate multipath propagation effects and strong blockage effects.Previous investigations on wireless propagation in factories often consisted of empirical models, that is simple analytical formulas based on measurement data.Unfortunately, they usually lack in flexibility, since they seldom include geometrical parameters describing the industrial scenario and therefore turn out reliable only in industrial scenarios sharing the same propagation characteristics as those where the measurements were performed.In response to this limitation, this article harnesses the power of Machine Learning to model propagation markers like path loss, shadowing, and delay spread in the industrial environment.By employing Machine Learning techniques, the objective is to achieve flexibility and adaptability in modeling, enabling the system to effectively generalize across diverse industrial scenarios.The proposed model relies on a combination of predictive algorithms, including a linear regression model and a Multi-Layer Perceptron, working collaboratively to model the relationship between the considered propagation markers and input features like frequency and machine size, spacing, and density.Results are in fair overall agreement with previous studies and highlight some trends about the sensitivity of the propagation parameters to the considered input features.

M. Hossein zadeh

M. Barbiroli

F. Fuschini

A Machine Learning Approach to Wireless Propagation Modeling in Industrial Environment

工业环境中无线传播建模的机器学习方法

Sanjeev Kumar

Gholamhosein Moloudian

Roy B. V. B. Simorangkir

Dinesh R Gawade

Brendan O’Flynn

John L Buckley

IEEE Open J. Antennas Propag.

Sub-GHz Wrist-Worn Antennas for Wireless Sensing Applications: A Review

亚GHz腕戴式天线在无线传感应用中的综述

Within the framework of the recent agri-food technological advancement, the design and validation of a methodology for the water content estimation in the Carasau bread manufacturing process is herein presented. Following a thorough evaluation of the dough dielectric properties, a suitable antenna layout has been selected, pointing out the advantages in the choice of a contactless narrow-band antenna in comparison to wide-band and dual-band ones. The presented simulated results are then validated using a prototype sensor and an ad hoc measurement system to confirm the antenna ability to discriminate among doughs with different water content. In addition, an accurate analysis of possible sources of misinterpretation of the results is presented.

Giacomo Muntoni

Matteo B. Lodi

Alessandro Fedeli

Andrea Melis

Claudia Macciò

Matteo Pastorino

Andrea Randazzo

Giuseppe Mazzarella

Alessandro Fanti

Preliminary Design and Test of a Microwave Inline Moisture Sensor for the Carasau Bread Industry

用于卡拉索面包行业的微波在线水分传感器的初步设计与测试

Laser powder bed fusion (LPBF) is a cost-effective and relatively fast additive manufacturing (AM) technique, utilizing a laser source to selectively melt metallic powder and produce objects with intricate geometries. Nevertheless, establishing effective real-time monitoring methods for this process remains a notable challenge. The interaction between the laser and metallic powder leads to the ejection of particles, referred to as spatter, with varying sizes, velocities, trajectories, and spatial distributions. Literature indicates that the behavior of these spatters can serve as a potential indicator of defect generation during the AM process. This study investigates the potential for employing a well-established electromagnetic (EM) model to monitor the scattering properties of spatters. This approach serves as a potential tool to identify variations in spattering behavior that might be associated with defect generation during the process. The study explores how parameters, such as spatial distribution and the number of particles (in a given volume), impact the scattering properties, accuracy, and efficiency of the method. Changes in spattering spatial distribution resulting from variations in processing parameters, including laser power, scan speed, and chamber pressure, were investigated. Some of these conditions resulted in the formation of a deep keyhole zone. The results demonstrated that monitoring radar cross-section (RCS) of the spatters could serve as a metric to distinguish between conditions that lead to a deeper keyhole and those that either do not create a keyhole zone or result in a shallower keyhole. Additionally, the concept of the "sphere-of-influence (SoI)" is used as a tool for improving computational efficiency and potential use in method validation. The insights from this study have the potential to contribute to the advancement of real-time LPBF monitoring, presenting possibilities for improved quality control and defect detection in AM processes.

Farzaneh Ahmadi

Jiming Song

Reza Zoughi

Electromagnetic Scattering Properties of Metal Powder Cloud for Laser Powder Bed Fusion (LPBF) Additive Manufacturing (AM)

激光粉末床熔融增材制造中金属粉末云的电磁散射特性

The Physical Optics (PO) method is used to derive simplified expressions to compute the radiation electric fields of planar graded-index and geodesic lenses based on a parallel-plate waveguide (PPW) implementation. If the PO method is combined with ray-tracing (RT) techniques, the resulting RT-PO procedure is capable of computing radiation patterns and gain of the PPW-based lens antennas when their apertures have a general shape and the electric field is vertically polarized. The RT-PO method is validated by comparing it with the full-wave simulation results of the commercial software ANSYS HFSS for three application cases. The results show that the RT-PO approach is not only very efficient from a computational point of view but also accurate, thus being a very convenient analysis/design tool for this kind of antenna.

Francisco Mesa

Mingzheng Chen

Pilar Castillo-Tapia

Oscar Quevedo-Teruel

Physical Optics Applied to Parallel-Plate Lens Antennas

物理光学在平行板透镜天线中的应用

Sima Noghanian

Lei Guo

Irene S. Karanasiou

Guest Editorial Introduction to the Special Section on Women’s Research in Antennas and Propagation Section (WRAPS)

客座编辑导言：《天线与传播领域女性研究特辑》

Mahmoud Wagih

Gaetano Marrocco

Mohammad H. Zarifi

Jasmin Grosinger

Chaoyun Song

Qammer H. Abbasi

Guest Editorial: Antenna-Enabled Sensors and Systems, the New Frontier in Sustainable Wireless Systems

特邀编辑：天线赋能传感器与系统，可持续无线系统的新前沿

Shi Sun

Meng Wang

Zhang Wen Cheng

Tie Jun Cui

Hui Feng Ma

A Dual-Band Circularly-Polarized Transmitarray Antenna With Simultaneous Low Side-Lobe and Cross-Polarization Level

双频圆极化发射阵列天线，具有同时低副瓣和交叉极化电平

Traditionally, radio frequency detection or ambient spectrum sensing has required high-performance spectrum analyzers and RF signal analyzers, leading to relatively high costs due to the need for a local oscillator and signal mixer. To overcome this challenge, we propose a low-cost, substantially simplified solution utilizing a stretchable rectenna, a microcontroller unit (MCU), and feedback control systems. By exploiting the dynamic correlation between the resonant frequency and the tensile ratio of the stretchable antenna, the incoming frequency can be determined by recording the maximum rectifier DC power output as a function of the electromechanically controlled tension ratio of the stretchable antenna. Our measured results indicate that a frequency measurement range of 1.8 GHz to 2.5 GHz can be achieved through careful design of the stretchable antenna and broadband rectifier. We have experimentally demonstrated an over-the-air far-field frequency sensing system based on this concept, showcasing significant advantages in power consumption, cost-effectiveness, and simplicity when compared to state-of-the-art RF spectrum analyzers.

Zebin Zhu

Bingyang Li

Yajiao Ke

Yuchao Wang

Zequn Wang

Shihao Sun

Ping Lu

Furong Yang

Hongxing Dong

Long Zhang

Cheng Zhang

Adaptive Radio Frequency Sensor Enabled by Electromechanically Controlled Stretchable Rectifying Antenna Systems

电机械控制的可拉伸整流天线系统实现的自适应射频传感器

A novel methodology for designing Chipless Radio Frequency Identification (RFID) tags realized using the Additive Manufacturing technologies and exhibiting a high number of identification states is proposed and investigated. An encoding scheme based on the resonances and anti-resonances of the input impedance of the resonator is employed for identifying the tag, which is achieved by exploiting the set of zero-crossing points of the tag reactance. A tolerance analysis is also performed to avoid any ambiguity in the reading process and to minimize the redundancy, thus providing unique electromagnetic signatures which are also suitable for anti-counterfeiting applications. Several prototypes have been fabricated and tested to assess the practical implementation of the proposed encoding scheme.

短名	IEEE Open J. Antennas Propag.
Journal Impact	3.68
国际分区	TELECOMMUNICATIONS(Q2)

ISSN	2637-6431
h-index	22

涉及主题	计算机科学工程类物理电信电气工程光学量子力学天线（收音机）电子工程数学材料科学计算机网络光电子学操作系统声学微带天线辐射模式偶极子天线化学
出版信息	出版商: Institute of Electrical and Electronics Engineers Inc.，出版周期: ，期刊类型: journal，开源期刊: 是
基本数据	创刊年份: 2020，原创研究文献占比: 99.13%，自引率:5.70%， Gold OA占比: 98.34%
期刊费用	$1995详情
平均审稿周期	网友分享经验：8 Weeks

IEEE Open Journal of Antennas and Propagation

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