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Improved Electromagnetic Inverse Scattering with M-Net Model Incorporating Diffraction Tomography 结合衍射层析成像的M-Net模型改进电磁逆散射
Pub Date : 2023-07-03 DOI: 10.1109/PIERS59004.2023.10221499
Ming Jin, Xi Rui Yang, C. Yang, M. Tong
Electromagnetic inverse scattering is a challenging problem in many areas of science and engineering, including radar imaging, medical imaging, and non-destructive testing. The goal of inverse scattering is to recover the properties of an object from the scattered electromagnetic waves that are generated when the object is illuminated with incident waves. The inverse scattering problem is inherently difficult because the properties of the object cannot be measured directly, and only the scattered waves can be observed. In recent years, convolutional neural networks (CNNs) have shown great promise in solving inverse scattering problems. The U-Net model is a popular CNN architecture that has been used to solve a wide range of image processing and recognition tasks. However, the U-Net model has limitations in dealing with complex inverse scattering problems due to the limited information available in the scattered wave data. To address this limitation, we propose an improved U-Net model called M-Net, which incorporates multi-scale features and a mean output layer to improve the accuracy and stability of the reconstruction. The M-Net model consists of a multi-scale input layer, a U-shape convolutional neural network, and a multi-scale mean output layer. Direct prediction methods take scattering field data as network input, which can greatly reduce the manual calculation workload, but this method does not make full use of known physical a priori information, resulting in a waste of computing resources. Therefore, we use diffraction tomography (DT) images based on Born approximation as the network input, which can ensure imaging accuracy and improve computational efficiency. In order to verify the effectiveness of the proposed method, a simulation experiment is carried out with a target medium as the reconstruction target. The results show that the M-Net model combined with the tomographic diffraction algorithm is superior to the U-Net model and other existing direct-solving methods in terms of accuracy and efficiency in solving the electromagnetic inverse scattering problems. The error analysis further proves the superior performance of the M-Net model combined with the tomographic diffraction algorithm in the complex inverse scattering problem.
电磁逆散射是一个具有挑战性的问题,在许多科学和工程领域,包括雷达成像,医学成像和无损检测。逆散射的目标是从物体被入射波照射时产生的散射电磁波中恢复物体的特性。逆散射问题本身就很困难,因为不能直接测量物体的性质,只能观察到散射波。近年来,卷积神经网络(cnn)在解决逆散射问题方面显示出巨大的前景。U-Net模型是一种流行的CNN架构,已被用于解决广泛的图像处理和识别任务。然而,由于散射波数据中可用的信息有限,U-Net模型在处理复杂的逆散射问题时存在局限性。为了解决这一限制,我们提出了一种改进的U-Net模型,称为M-Net,它结合了多尺度特征和平均输出层,以提高重建的准确性和稳定性。M-Net模型由一个多尺度输入层、一个u形卷积神经网络和一个多尺度平均输出层组成。直接预测方法将散射场数据作为网络输入,可以大大减少人工计算工作量,但这种方法没有充分利用已知的物理先验信息,造成计算资源的浪费。因此,我们使用基于Born近似的衍射层析成像(衍射tomography, DT)图像作为网络输入,既保证了成像精度,又提高了计算效率。为了验证该方法的有效性,以目标介质为重构目标进行了仿真实验。结果表明,结合层析衍射算法的M-Net模型在求解电磁逆散射问题的精度和效率上都优于U-Net模型和其他现有的直接求解方法。误差分析进一步证明了M-Net模型结合层析衍射算法在复杂逆散射问题中的优越性能。
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引用次数: 0
Development of Representing Algorithms for Internet Broadband Geographically Based Information Modules Interaction 基于互联网宽带地理信息模块交互的表示算法研究
Pub Date : 2023-07-03 DOI: 10.1109/PIERS59004.2023.10221317
E. Lipenbergs, Inga Vagale, V. Bobrovs
By the spreading of electronic communications to high-speed and high-capacity broadband networks characterized by connection speeds of up to several Gbps in fifth-generation (5G) networks and data rate of at least 1 Tbps for sixth-generation (6G), it is essential to ensure an appropriate quality of service. The research covers the regulatory and services supervision aspects for finding an optimal set of algorithms as a comprehensive scope of the internet connections information availability and broadband deployment assessment in light of the aim for seamless as possible prime internet access coverage. The availability of broadband and related services for all end-users is particularly important due to continuing dynamic development of mobile technology generations, given, for example, the potential extreme fragmentation of 5G and 6G technology development, which could lead to more pronounced services differentiation due to insufficient geographical coverage, which can delimit and increasingly ‘distance’ technologically advanced geographical areas from sparsely populated administrative areas with possibly limited access to infrastructure. Taking into account end-user necessities also for easy choices of service offers based on their actual needs some directions are highlighted concerning Quality-of-Service (QoS) information management in relationship with the price options on certain geographic areas or addresses. The baseline of the information collecting looks like the opposite or delayed opinion of high-end technologies spreading but at the same time without objecting to the development of new broadband generations the information on regular classes of widely available broadband services is crucially important for every end-user to choose the best option at their location and also for regulatory authorities to make smart and weighted decisions, even to support the implementation of the latest technologies. The research covers the information requests and seeking flows, particularly for regulators to find the optimal model for gathering all necessary information on broadband access services availability and characteristics.
随着电子通信向高速、高容量宽带网络的扩展,第五代(5G)网络的连接速度可达数Gbps,第六代(6G)网络的数据速率至少为1tbps,确保适当的服务质量至关重要。该研究涵盖了监管和服务监督方面,以寻找一套最佳算法,作为互联网连接、信息可用性和宽带部署评估的综合范围,以实现尽可能无缝的主要互联网接入覆盖。鉴于移动技术的不断动态发展,例如5G和6G技术发展的潜在极端碎片化,可能会由于地理覆盖不足而导致更明显的服务分化,因此,为所有最终用户提供宽带和相关服务尤为重要。这可能会将技术先进的地理区域与人口稀少的行政区域划清界限,并日益“疏远”这些区域,因为这些区域的基础设施可能有限。考虑到最终用户需要根据其实际需要方便地选择提供的服务,强调了与某些地理区域或地址的价格选择有关的服务质量(QoS)信息管理的一些方向。信息收集的基线看起来像是高端技术传播的相反或延迟的意见,但与此同时,在不反对新一代宽带发展的情况下,关于常规类别的广泛可用宽带服务的信息对于每个最终用户在其所在地选择最佳选择以及监管当局做出明智和权衡的决定至关重要。甚至支持最新技术的实施。该研究涵盖了信息请求和寻求流程,特别是为监管机构找到收集宽带接入服务可用性和特征的所有必要信息的最佳模型。
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引用次数: 0
An Empiric Mathematical Models to Predict Electrical Properties of Natural Juniper Wood Samples by Using Non-Distractive Methods 用非干扰方法预测天然桧木样品电性能的经验数学模型
Pub Date : 2023-07-03 DOI: 10.1109/PIERS59004.2023.10221421
Sinan Saeed Jasim Alsaadi, A. Kocakusak, Y. Albayrak, S. Helhel
This study focused on determining electrical parameters, both complex dielectric permittivity and tangent loss coefficients, for Juniper wood in its natural form. Therefore, enough rendered samples were selected and kept in the room where the temperature was around $23{{}^{circ}mathrm{C}}pm 2$. Between 2.17 GHz and 6 GHz, three standard waveguide adaptors were used to cover the whole band. Measurements were conducted and repeated considering moisture content variation to express an empiric mathematical model which will allow calculating electrical parameters of natural woods without any $S-text{parameter}$ measurements (will not require VNA-like equipment for future). The Juniper sample was subjected to $S-text{parameter}$ measurements, and 500 data were recorded for the prescribed moisture content value. The selected specimens were three softwood and six hardwood species since comparison can be meaningful for industry. A total of 54 empirical models have been generated, 3 for the dielectric constant of individual tree species and 3 for the loss tangent values of particular tree species, and these models are supported by their density values. A total of 16500 data generated from $S-text{parameter}$ measurements were used in the analysis, in which each measure contains 500 raw data. The proposed mathematical models allow for predicting the electrical properties of selected natural wood samples without requiring any microwave measurements, which is the novelty of this study.
本研究的重点是确定天然形式的杜松木的电气参数,包括复杂介电常数和正切损耗系数。因此,选择足够的渲染样本保存在温度约为$23{{}^{circ}mathrm{C}}pm 2$的房间中。在2.17 GHz和6 GHz之间,使用了三个标准波导适配器来覆盖整个频段。在考虑含水率变化的情况下进行并重复测量,以表达一个经验数学模型,该模型将允许计算天然木材的电气参数,而无需任何$S-text{parameter}$测量(未来不需要类似vna的设备)。Juniper样品进行$S-text{parameter}$测量,并记录500个数据以获得规定的水分含量值。选择的标本为3种软木和6种硬木,因为比较对工业有意义。共建立了54个经验模型,其中3个为单个树种的介电常数模型,3个为特定树种的损耗正切值模型,这些模型都有它们的密度值支持。分析中使用了$S-text{parameter}$测量产生的16500个数据,其中每个测量包含500个原始数据。所提出的数学模型允许在不需要任何微波测量的情况下预测选定的天然木材样品的电学特性,这是本研究的新颖之处。
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引用次数: 0
Three-dimensional Reconstruction of Space Targets from Multi-view ISAR Images Using Differentiable Voxel Reconstruction Network 基于可微体素重建网络的多视点ISAR图像空间目标三维重建
Pub Date : 2023-07-03 DOI: 10.1109/PIERS59004.2023.10221482
Bo Long, Zhi-Chao Wang, Jia-wei Tan, Feng Wang
Inverse Synthetic Aperture Radar (ISAR) is an effective remote sensing technique to obtain valuable 3D information of targets such as satellites using multi-view ISAR images. The special imaging mechanism of ISAR makes the target features vary greatly with the view angles. The silhouette, although more robust than scattered point features, relies on accurate projection information for 3D reconstruction of the target. This paper introduces a differentiable voxel reconstruction network that uses a differentiable projection operator to guarantee the backward propagation of the neural network. The view angle is set as a learnable parameter, so that 3D reconstruction can be achieved even for silhouettes with view angle noise. Experiments on simulation data demonstrate that the proposed method are much better than other traditional silhouette-based 3D reconstruction methods under the view angle noise condition.
逆合成孔径雷达(ISAR)是一种利用多视点ISAR图像获取卫星等目标有价值的三维信息的有效遥感技术。ISAR特殊的成像机制使得目标特征随视角的变化变化很大。尽管轮廓比分散的点特征更健壮,但它依赖于精确的投影信息来进行目标的三维重建。本文介绍了一种可微体素重构网络,该网络采用可微投影算子保证神经网络的反向传播。视角被设置为一个可学习的参数,因此即使有视角噪声的轮廓也可以实现3D重建。仿真实验数据表明,在视角噪声条件下,该方法明显优于传统的基于轮廓的三维重建方法。
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引用次数: 0
Flexible Antenna Design for Wearable Telemedicine Applications 可穿戴远程医疗应用的柔性天线设计
Pub Date : 2023-07-03 DOI: 10.1109/PIERS59004.2023.10221503
Sara Yehia Abdel Fatah, Fatma Taher, T. Elwi, M. F. Abo Sree, Mohammad Alibakhshikenart, B. Virdee, P. Livreri, Naser Ojaroudi Patchin, C. See, Giovanni Pau, I. Dayoub, E. Limiti
In this article, an antenna design is presented based on three horizontally staggered microstrip lines for wearable telemedicine devices. The antenna is excited through a 50-ohm microstrip line. The proposed antenna was fabricated using conductive copper tape of 35μm thickness and printed on a flexible photo paper suitable for telemedicine applications. The proposed antenna has physical dimensions of 40 × 35 ×0.635 mm3. It was designed to operate at the ISM band 2.45 GHz. The proposed antenna design was simulated and optimized using Computer Simulation Technology of Microwave Studio software (CSTMWS). The design of the antenna was then validated through measurement. The results show good agreement between the simulated and measured results. The proposed antenna's performance is evaluated in terms of radiation efficiency, radiation patterns, and return loss. The results confirm the antenna described here is suitable for wearable wireless electronic devices.
提出了一种基于3条水平交错微带线的可穿戴远程医疗设备天线设计方案。天线通过50欧姆微带线激发。该天线采用35μm厚度的导电铜带制作,并打印在适合远程医疗应用的柔性相纸上。该天线的物理尺寸为40 × 35 ×0.635 mm3。它被设计为在ISM频段2.45 GHz工作。利用微波工作室软件(CSTMWS)的计算机仿真技术对天线设计进行了仿真和优化。然后通过测量验证了天线的设计。仿真结果与实测结果吻合较好。该天线的性能是根据辐射效率、辐射方向图和回波损耗来评估的。结果证实了本文所述天线适用于可穿戴无线电子设备。
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引用次数: 0
Multipartite Entanglement Distribution Using Separable States 基于可分离态的多部纠缠分布
Pub Date : 2023-07-03 DOI: 10.1109/PIERS59004.2023.10221501
Hannah McAleese, Alessandro Laneve, M. Paternostro
Entanglement distribution among the nodes of a quantum network is possible without having to send any entanglement. We extend this phenomenon to a multipartite setting, using one separable carrier to entangle multiple qubits. It is shown that postselective measurements on the carrier at the end of the protocol can be used to enhance the entanglement produced. We consider the impact of sending the carrier through noisy channels. An experimental proposal is put forward to demonstrate how this could be realised using photons.
在不发送任何纠缠的情况下,量子网络节点之间的纠缠分布是可能的。我们将这种现象扩展到多部设置,使用一个可分离的载波来纠缠多个量子位。结果表明,在协议结束时对载波进行后选择测量可以增强所产生的纠缠。我们考虑了通过噪声信道发送载波的影响。提出了一个实验方案来演示如何使用光子来实现这一点。
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引用次数: 0
Optical Beamforming Concepts for Wide-Swath Synthetic Aperture Radar Systems 宽幅合成孔径雷达系统的光束形成概念
Pub Date : 2023-07-03 DOI: 10.1109/PIERS59004.2023.10221395
J. Ydreborg, S. Huber, G. Krieger
High-resolution wide-swath (HRWS) imaging using scan-on-receive (SCORE) synthetic aperture radar (SAR) with one or multiple simultaneous beams is being heavily investigated using digital beamforming paradigms. However, a contender is analogue beamforming using photonics. In this work, the feasibility of photonics enhanced beamforming in SAR systems in higher frequency bands and bandwidths is investigated using a state-of-the-art SAR system as a comparison. The most common performance indicators are derived and an example SAR system is devised, with a discussion on potential antenna configurations. The integrated microwave photonics (IMWP) platforms available and most suited to SAR systems is discussed, including architectures and materials. Additionally, an investigation into system noise and dynamic range performance reveals a number of essential challenges that need to be addressed, including the reduction of losses an thereby the required number of semiconductor optical amplifiers (SOA) and the noise performance of the laser(s). The reconfiguration speed of beamforming phase shifters and true-time delay (TTD) elements are essential for SCORE operation with a large number of beams, which limits the viable materials used for these elements. The current state of IMWP indicate that these advanced systems with many beams and channels is very difficult to realize for SAR and implementations in simpler systems are more viable. However, the rapid development of IMWP indicate that these beamforming systems will soon be viable for SAR.
利用一个或多个同步波束的扫描接收(SCORE)合成孔径雷达(SAR)进行高分辨率宽幅(HRWS)成像,目前正在使用数字波束形成范例进行大量研究。然而,一个竞争者是利用光子学的模拟波束形成。在这项工作中,利用最先进的SAR系统作为比较,研究了在更高频段和带宽的SAR系统中光子增强波束形成的可行性。推导了最常见的性能指标,并设计了一个SAR系统示例,讨论了可能的天线配置。讨论了适用于SAR系统的集成微波光子学(IMWP)平台,包括结构和材料。此外,对系统噪声和动态范围性能的调查揭示了许多需要解决的基本挑战,包括减少损耗,从而减少半导体光放大器(SOA)的数量和激光器的噪声性能。波束形成移相器和实时延迟(TTD)元件的重构速度对具有大量波束的SCORE操作至关重要,这限制了这些元件使用的可行材料。IMWP的现状表明,这些具有多波束和多信道的先进系统在SAR中很难实现,而在更简单的系统中实现更为可行。然而,IMWP的快速发展表明,这些波束形成系统将很快适用于SAR。
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引用次数: 0
Optical Measurement of Photonic Nanostructures Based on Quantitative Phase Microscopy 基于定量相位显微镜的光子纳米结构光学测量
Pub Date : 2023-07-03 DOI: 10.1109/PIERS59004.2023.10221304
Zedi Li, Yijun Xie, Renlong Zhu, Jingyi Wang, Zhengqiong Dong, Xiaoping Zhou, Lei Nie, Shiyuan Liu, Jinlong Zhu
Nowadays, photonic devices are increasingly applied in photonic chips, and photonic nanostructures are an important component of photonic devices. Due to their small size and high precision requirements, it is necessary to measure photonic devices as soon as possible after production. In this paper, we propose a microscopy system based on modified co-optical off-axis digital holographic microscopy (CO-DHM), which uses the Kramers-Kronig (KK) relation to extract phase information from interferograms. This configuration reduces noise and is single-shot, meaning high-speed and high-precision phase imaging can be achieved. We applied this microscopy system to the measurement of photonic nanostructures and perform phase imaging of a strip waveguide and a gold marker on an in-house developed photonic chip.
目前,光子器件在光子芯片中的应用越来越广泛,而光子纳米结构是光子器件的重要组成部分。由于光子器件体积小,精度要求高,因此在生产后必须尽快对其进行测量。本文提出了一种基于改进共光离轴数字全息显微镜(CO-DHM)的显微系统,该系统利用Kramers-Kronig (KK)关系从干涉图中提取相位信息。这种配置降低了噪声,并且是单镜头,这意味着可以实现高速和高精度的相位成像。我们将该显微系统应用于光子纳米结构的测量,并在自主开发的光子芯片上对带状波导和金标记进行相位成像。
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引用次数: 0
Design and Simulation of 1.0 THz Staggered Double Vane Backward-wave Oscillator 1.0太赫兹交错双叶片后向波振荡器的设计与仿真
Pub Date : 2023-07-03 DOI: 10.1109/PIERS59004.2023.10221517
Wenxin Liu, Xiangpeng Liu, Zhi-qiang Zhang, Zhihao Jin, Fan Deng, Zhaochuan Zhang
THz backward-wave oscillator (BWO) is a high-power, tunable frequency, and high-frequency terahertz radiation source. In this paper, the high-frequency system and electron optics system of a 1.0 THz BWO are studied. And the staggered double vane structure is used to improve the efficiency of the beam wave interaction efficiency. At the operating voltage of 25 kV and the electron beam current of 20 mA, the stable output power of BWO is 554mW, and the oscillation frequency is 1.029 THz. We also designed the electron optics system of a 1.0 THz BWO, in which the cathode excitation current reached 20mA at an operating voltage of 25 kV. Under the influence of a uniform magnetic field of 1.2 T, the transmission was stable, and the pass rate was over 99%.
太赫兹反向波振荡器(BWO)是一种大功率、频率可调的高频太赫兹辐射源。本文对1.0太赫兹BWO的高频系统和电子光学系统进行了研究。采用交错双叶片结构,提高了光束与波的相互作用效率。在工作电压为25 kV,电子束电流为20 mA时,BWO稳定输出功率为554mW,振荡频率为1.029 THz。我们还设计了1.0 THz BWO的电子光学系统,在25 kV工作电压下阴极激发电流达到20mA。在1.2 T的均匀磁场作用下,传输稳定,通过率达99%以上。
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引用次数: 0
Bitrate-based Video Traffic Classification 基于比特率的视频流量分类
Pub Date : 2023-07-03 DOI: 10.1109/PIERS59004.2023.10221281
Tianhua Chen, E. Grabs, A. Ipatovs, E. Petersons, A. Ancans
Granular network traffic classification is gaining high priority, which is crucial for the Internet Service Providers (ISP), Over The Top (OTT) providers' operation and maintenance management and users' Quality of Experience (QoE) improvement. Streaming video category traffic takes up a significant proportion of Internet traffic. Its ground truth sources include the application types, streaming network communication protocols, resolution, refresh rates, video encoding protocols, physical network resource bandwidth, and associated with the video source. However, the credibility of the traffic classification work based on the ground truths above-mentioned is not high since the quality of the video source cannot be guaranteed. The user's perception is poor even when watching higher resolution and refresh rate in a particular scenario. Secondly, different video platforms use different technical standards, which will inevitably cause video quality compression loss in transmission and viewing. The user viewing experience varies greatly, even under the same standard. In this paper, we propose to implement the traffic classification task by calculating the video bitrates of Video on Demand (VoD) and Video Live Streaming (VLS) as accurate classification labels and using machine learning techniques, in which we will examine the real-time bitrates during real-world video transmission compared with the bitrates set by theoretical recommendations to find the differences between the two scenarios.
细粒度网络流量分类对于ISP (Internet Service Providers)、OTT (Over the Top)提供商的运维管理和用户体验质量(Quality of Experience)的提升至关重要。流视频类流量在互联网流量中占有相当大的比例。其基真源包括应用类型、流媒体网络通信协议、分辨率、刷新率、视频编码协议、物理网络资源带宽以及与之相关的视频源。然而,基于上述地面事实的流量分类工作的可信度并不高,因为视频源的质量无法保证。即使在特定场景中观看更高的分辨率和刷新率,用户的感知也很差。其次,不同的视频平台采用不同的技术标准,在传输和观看过程中难免会造成视频质量压缩损失。即使在相同的标准下,用户的观看体验也会有很大差异。在本文中,我们提出通过计算视频点播(VoD)和视频直播(VLS)的视频比特率作为准确的分类标签并使用机器学习技术来实现流量分类任务,其中我们将检查现实世界视频传输中的实时比特率与理论建议设置的比特率进行比较,以找出两种场景之间的差异。
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引用次数: 0
期刊
2023 Photonics & Electromagnetics Research Symposium (PIERS)
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