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2019 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)最新文献

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Antenna Arrangement Verification for Low Sidelobe Levels 低旁瓣电平的天线布置验证
Abigail J. Kragt Finnell, P. Schubert
Space-to-earth Wireless Power Transfer (WPT) in large scale will not be allowed unless the side lobe levels (SLL) can be reduced many orders of magnitude lower than the current technology allows. In particular, high SLL could potentially interfere with aircraft communications around the beam, while the area inside the beam would necessarily be a no-fly zone, similar as over nuclear power plants. To overcome this, the transmitting antenna must be cleverly designed and controlled. In this work, independent validation of the layout, spacing, and envelope arrangement of a design first proposed in 2016 is performed and presented. This design involves a hexagonal design with a triangular antenna element arrangement and a spacing of 0.8 wavelengths using the Dolph-Chebychev beam profile. While this has been shown to produce −240 dB SLL in the AWR Design Environment already, it will now be analyzed using the MATLAB Phased Array System Toolbox. The design will also be investigated on a smaller scale, with the potential for use in other applications, including the powering of low orbit weather balloons or unmanned aerial vehicles (UAVs). The possibility of very low SLL would be transformational in these and other WPT applications, including space solar power, and could greatly benefit humanity and the environment.
除非能将旁瓣电平(SLL)降低到比当前技术允许的低许多数量级,否则大规模的空对地无线电力传输(WPT)将不被允许。特别是,高SLL可能会潜在地干扰波束周围的飞机通信,而波束内的区域必然是禁飞区,类似于核电站上空。为了克服这个问题,必须巧妙地设计和控制发射天线。在这项工作中,对2016年首次提出的设计的布局、间距和包络布置进行了独立验证。本设计采用六角形设计,采用三角形天线单元布置,使用道尔夫-切比切夫波束剖面,波长间隔为0.8。虽然在AWR设计环境中已经显示出产生- 240 dB的SLL,但现在将使用MATLAB相控阵系统工具箱对其进行分析。该设计还将在较小规模上进行研究,并有可能用于其他应用,包括为低轨道气象气球或无人驾驶飞行器(uav)提供动力。极低SLL的可能性将在这些和其他WPT应用中具有变革性,包括空间太阳能,并且可以极大地造福人类和环境。
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引用次数: 1
Scattering of EM waves from a Rotating Dispersive Very Good Conducting Cylinder 旋转色散极好导电圆柱体对电磁波的散射
Esmail M M Abuhduma, G. Comert, Ahmed Elqaouaq, A. Reeves, W. Kellen
This research focuses on studying the scattering phenomenon. Scattering electromagnetic waves from a rotating conducting cylinder is investigated when the material of the conducting cylinder is linear, homogeneous, isotropic, and dispersive. This study is an extension of a previous work that investigated the effect of the rotating very good conducting cylinder on the scattered phase and amplitude, when the material of the very good conducting cylinder is linear, homogeneous, isotropic, and nondispersive. One of the important result of the previous work is that the Franklin transformation is a proper and more accurate method to calculate the effect of the rotation, and gives more accurate results than Galilean transformation. In this research, the Franklin transformation will be used to investigate the effect of the rotation of the very good conducting object on the scattered phase and magnitude of the incident waves. The two types of incident waves (E-wave and H-wave) will be considered herein. The simulation results will clearly display the behavior of the scattered phase and magnitude with changes to the incident frequency, the speed of rotation, and the radius of the very good conducting cylinder. Moreover, this result is compared with the result of the previous work (non-dispersive material) to show the behavior of the scattered phase and magnitude when the incident frequency, speed of the rotation and radius of the very good conducting cylinder is changed.
本研究的重点是研究散射现象。研究了导体圆柱体材料为线性、均匀、各向同性和色散的情况下,从旋转导体圆柱体发出的电磁波的散射。本研究是先前研究了当极优导电圆柱的材料为线性、均匀、各向同性和非色散时,旋转极优导电圆柱对散射相位和振幅的影响的延伸。先前工作的一个重要结果是,富兰克林变换是一种更合适、更精确的计算旋转效应的方法,并且给出的结果比伽利略变换更精确。在本研究中,富兰克林变换将用于研究极好导电性物体的旋转对入射波的散射相位和大小的影响。这里将考虑两种入射波(e波和h波)。仿真结果将清楚地显示出散射相位和大小随入射频率、旋转速度和极导电性圆柱半径的变化规律。并将此结果与前人(非色散材料)的结果进行了比较,揭示了当入射频率、旋转速度和半径改变时,极导电性圆柱的散射相位和量级的变化规律。
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引用次数: 1
UHF RFID-based Additively Manufactured Passive Wireless Sensor for Detecting Micrometeoroid and Orbital Debris Impacts 基于超高频rfid的增材制造无源无线传感器检测微流星体和轨道碎片撞击
Carlos R. Mejias-Morillo, A. Gbaguidi, Daewon Kim, S. Namilae, E. Rojas-Nastrucci
During the last decade, the use of wireless sensor networks (WSN) has grown up exponentially for many applications because of the improvements in deployment processes and ability to sense the events in real-time. The combination of the WSN features with the direct print additive manufacturing process (DPAM), which uses fused deposition modeling (FDM) and microdispensing, enables the fabrication of complex structure with flexible features. By integrating an RFID IC sensor tag and an antenna, a low-cost passive wireless node is shown in this work. In this sense, the design, manufacturing, and testing of a 3D-printed UHF RFID passive wireless sensor that can be used to detect impacts from micrometeoroid and orbital debris are presented. The designed antenna was fabricated using Kapton wrapping and the DPAM process to achieve an antenna gain of 3.92 dBi at 915 MHz, which is dependent on the size and conductivity of the ground plane. The resistance sensing range of the passive wireless node is up 2 MΩ with a range of 1.9 m. The sensor is tested using a micrometeoroid and orbital debris impact sensing element. The manufacturing process and design presented in this work enable future in-space wireless sensor fabrication to support human space exploration.
在过去十年中,由于部署流程和实时感知事件的能力的改进,无线传感器网络(WSN)的使用在许多应用中呈指数级增长。WSN特性与直接打印增材制造工艺(DPAM)相结合,使用熔融沉积建模(FDM)和微点胶,可以制造具有柔性特征的复杂结构。通过集成RFID IC传感器标签和天线,本研究展示了一个低成本的无源无线节点。在这个意义上,设计,制造和测试3d打印UHF RFID无源无线传感器,可用于检测来自微流星体和轨道碎片的影响。设计的天线采用Kapton包绕和DPAM工艺制作,在915 MHz时实现了3.92 dBi的天线增益,该增益取决于地平面的尺寸和电导率。无源无线节点的电阻感应范围上升2 MΩ,范围为1.9 m。该传感器使用微流星体和轨道碎片撞击传感元件进行测试。本工作中提出的制造工艺和设计使未来的空间无线传感器制造能够支持人类的空间探索。
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引用次数: 5
WiSEE 2019 Author List WiSEE 2019作者名单
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引用次数: 0
WiSEE 2019 Cover Page WiSEE 2019封面
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引用次数: 0
In-Situ TID Testing and Characterization of a Highly Integrated RF Agile Transceiver for Multi-Band Radio Applications in a Radiation Environment 高集成射频敏捷收发器在辐射环境下多波段应用的原位TID测试和特性
J. Budroweit, M. Jaksch
In this paper, the in-situ testing and characterization of an highly integrated radio frequency (RF) agile transceiver in an radiation environment is presented. The device under test (DUT) is exposed by γ-rays to evaluate the total ionizing dose effects. The advance in-situ test setup allows detailed analysis of the DUT’s RF performance. The test procedures and methods are described and particular test results are shown. The DUT has been irradiated to a total ionizing dose of ~190krad and has not shown any conspicuous degradation effects or malfunctions.
本文介绍了一种高集成射频敏捷收发器在辐射环境下的原位测试和特性。被试装置(DUT)被γ射线照射以评估总电离剂量效应。先进的原位测试设置允许对DUT的射频性能进行详细分析。描述了试验程序和方法,并给出了具体的试验结果。DUT辐照总电离剂量为~190krad,未显示出任何明显的降解效应或故障。
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引用次数: 3
Classifying Poisoning Attacks in Software Defined Networking 软件定义网络中的投毒攻击分类
Thomas A. V. Sattolo, Saumil Macwan, Michael J. Vezina, A. Matrawy
Software-Defined Networking (SDN) provides significant flexibility when it comes to complex network management. This makes this technology an ideal candidate for dealing with network management issues in satellite and terrestrial networks.One key innovation of SDN is the separation of the control plane from the data plane. This results in a new network element: the controller. Given the importance of the role of the logically centralised (physically distributed) controller, it becomes an important point to protect in the new SDN paradigm. It could be vulnerable to attacks that are common in traditional networks such as Distributed Denial of Service (DDoS). In this paper, we address a type of attack that could threaten the operation of SDN-based environments: poisoning attacks.To perform its function, the logically centralised controller must have an accurate view of the network state. The accuracy of this view is crucial to the operation of the network. This view is obtained by exchanging information among controllers and between controllers and network elements. Such information flow could be vulnerable to different types of poisoning attacks. The motivation for writing this paper is that (1) poisoning attacks on SDN networks could have great impact, (2) most of them are relatively recent and (3) the differences between such attacks could be subtle. Therefore, we address the issues by classifying poisoning attacks in SDN. We classify both attacks and defences. For attacks we make a distinction between direct poisoning attacks and attacks that are designed to evade a specific defence.
软件定义网络(SDN)在复杂的网络管理方面提供了极大的灵活性。这使得该技术成为处理卫星和地面网络中网络管理问题的理想选择。SDN的一个关键创新是控制平面与数据平面的分离。这就产生了一个新的网络元素:控制器。考虑到逻辑集中式(物理分布式)控制器角色的重要性,它成为新的SDN范式中需要保护的一个重要点。它可能容易受到传统网络中常见的攻击,例如分布式拒绝服务(DDoS)。在本文中,我们讨论了一种可能威胁到基于sdn的环境运行的攻击类型:中毒攻击。逻辑集中式控制器必须对网络状态有准确的了解,才能发挥其功能。这种观点的准确性对网络的运行至关重要。该视图通过控制器之间以及控制器与网元之间的信息交换获得。这样的信息流可能容易受到不同类型的毒化攻击。撰写本文的动机是:(1)SDN网络上的中毒攻击可能会产生很大的影响,(2)它们中的大多数是相对较新的,(3)这些攻击之间的差异可能是微妙的。因此,我们通过对SDN中的投毒攻击进行分类来解决问题。我们对攻击和防御进行分类。对于攻击,我们区分了直接中毒攻击和旨在逃避特定防御的攻击。
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引用次数: 3
Diversity Based Coverage Improvement for Air-to-Ground Wireless Channels 基于分集的空对地无线信道覆盖改进
N. H. Ranchagoda, S. Kandeepan, Ming Ding, A. Al-Hourani, K. Gomez
Air-to-Ground (A2G) wireless communications using Unmanned Aerial Vehicles (UAVs) as Low Altitude Platforms (LAPs) have become a hot topic in recent decades. Among all the A2G channel models that can be used for A2G channel characterization, the two-ray ground reflection path loss model can be used for environments with fewer scatterers such as over water, suburban and mountainous. In such environments, signal down-fades appear due to the destructive combination of the direct component and the ground reflected component. This paper presents a frequency diversity approach to improve the coverage in such an environment. Our results show that frequency diversity can improve coverage at least by 17% when two frequencies are used assuming the threshold to be −80 dBm. Moreover, this work analyses the coverage improvement that can be obtained through polarization diversity. Our results show that having both horizontal and vertical polarizations can improve the coverage by 10%–95%, assuming the transmission frequency to be 700MHz and UAV altitude is between 100 m–300 m.
近几十年来,利用无人机作为低空平台进行空对地(A2G)无线通信已成为一个热门话题。在所有可用于A2G信道表征的A2G信道模型中,双射线地面反射路径损失模型可用于水面、郊区和山区等散射体较少的环境。在这种环境下,由于直接分量和地反射分量的破坏性组合,信号会出现下衰减。本文提出了一种频率分集方法来提高这种环境下的覆盖。我们的研究结果表明,假设阈值为- 80 dBm,当使用两个频率时,频率分集可以将覆盖率提高至少17%。此外,本文还分析了极化分集所能提高的覆盖范围。研究结果表明,假设传输频率为700MHz,无人机高度在100 ~ 300 m之间,同时具有水平极化和垂直极化可将覆盖范围提高10% ~ 95%。
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引用次数: 1
Case study of radio coverage in complex indoor environments for 5G communications 5G通信复杂室内环境下无线电覆盖案例研究
Kedjar Khaled, L. Talbi
Many propagation channel models are emerging to study the behavior of the signal in specific environments for future 5G cellular networks. However, the vertiginous growth and popularization of indoor wireless systems require a suitable design before its implementation and the propagation channel models won’t be enough. In this paper, we will discuss the first part of implementation of a suitable technique to improve the coverage and high channel capacity in complex indoor environments, where maximum of coverage and high data rate will be claimed. These implementations are to detect the weak spots within the environments and improve the accuracy of propagation channel modeling in any complex indoor environments.
许多传播信道模型正在出现,以研究未来5G蜂窝网络在特定环境中的信号行为。然而,随着室内无线系统的飞速发展和普及,室内无线系统的实现需要有一个合适的设计方案,而现有的传播信道模型是不够的。在本文中,我们将讨论在复杂的室内环境中实现适当技术的第一部分,以提高覆盖范围和高信道容量,其中最大的覆盖范围和高数据速率将被要求。这些实现是为了检测环境中的弱点,提高在任何复杂室内环境下传播信道建模的准确性。
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引用次数: 3
Design of a Semi-Supervised Learning Strategy based on Convolutional Neural Network for Vehicle Maneuver Classification 基于卷积神经网络的车辆机动分类半监督学习策略设计
A. Mammeri, Yiheng Zhao, A. Boukerche, Abdul Jabbar Siddiqui, B. Pekilis
Among state-of-the-art vehicle maneuver classification algorithms, Hidden Markov Models are commonly applied for predicting maneuver probability. To generate a model, a sufficient number of labeled samples is necessary for training. However, annotations that contain information such as class and bounding box are not always available. Manually labeling data is tedious, inaccurate, and time consuming, especially when the dataset is extremely large. Besides, there exists lots of redundant data that negatively influences model training. In this paper, we explore the possibility of using only a few manually labeled samples to train a Convolutional Neural Network (CNN) model for vehicle maneuver classification with relatively high accuracy. We define three maneuver classification groups: motion, velocity, and turning. Each group has subclasses, reflecting different aspects of the vehicle movement. Based on the defined maneuver classes, we design a simple CNN model to distinguish vehicle maneuvers. We also propose a learning strategy that requires only a few samples for training, while maintaining high recognition precision. Comprehensive experiments were performed to demonstrate the capability of our model and performance of our training strategy. In result, our model achieves an overall of 93.48% precision for maneuver recognition with only 3.5% Controller Area Network (CAN) bus data for training.
在当前的机动分类算法中,隐马尔可夫模型是常用的机动概率预测算法。为了生成模型,需要足够数量的标记样本进行训练。但是,包含类和边界框等信息的注释并不总是可用的。手动标记数据是乏味、不准确和耗时的,特别是当数据集非常大的时候。此外,存在大量冗余数据,对模型训练产生不利影响。在本文中,我们探索了仅使用少量手动标记的样本来训练卷积神经网络(CNN)模型的可能性,该模型用于车辆机动分类,具有相对较高的精度。我们定义了三个机动分类组:运动、速度和转弯。每个组都有子类,反映了车辆运动的不同方面。在定义机动类的基础上,设计了一个简单的CNN模型来区分车辆机动。我们还提出了一种只需要少量样本进行训练,同时保持高识别精度的学习策略。通过综合实验验证了模型的性能和训练策略的有效性。结果表明,该模型在仅使用3.5%的控制器局域网(CAN)总线数据进行训练的情况下,实现了93.48%的机动识别精度。
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引用次数: 7
期刊
2019 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)
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