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2021 International Conference on Military Communication and Information Systems (ICMCIS)最新文献

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Design of RF Self-interference Cancellation Circuit for 100-W Full-Duplex Radio at 225–400 MHz 225 - 400mhz 100w全双工无线电射频自干扰消除电路设计
Pub Date : 2021-05-04 DOI: 10.1109/ICMCIS52405.2021.9486417
M. Heino, Matias Turunen, Miika Vuorenmaa, T. Riihonen
The full-duplex (FD) technology enables future military radios to simultaneously transmit and receive (STAR) on the same and adjacent frequencies. This enhances spectral efficiency and makes simultaneous integrated tactical communications and electronic warfare operations possible as opposed to the current time- or frequency-division radios used in military applications. The main challenge in implementing full-duplex radios is the strong self-interference (SI) between the transmitter and the receiver requiring solutions how to cancel the coupling, which has been largely resolved at higher ultra high frequency (UHF) bands for low power transmission. This paper presents a radio-frequency SI cancellation circuit suitable especially for very high-power military applications at military-relevant lower UHF band (225–400 MHz). The circuit couples power from the transmitter and tunes the phase and amplitude of the signal to destructively combine with the received SI, and thus isolates the receiver and transmitter. The paper introduces a concept consisting of a 90° vector modulator and switchable delay lines for a low-loss and high-power-handling cancellation circuit that enables operation with very-high transmit powers of even up to 1 kW.
全双工(FD)技术使未来的军用无线电能够在相同和相邻的频率上同时发送和接收(STAR)。这提高了频谱效率,使同时集成战术通信和电子战操作成为可能,而不是目前在军事应用中使用的时分或频分无线电。实现全双工无线电的主要挑战是发射机和接收机之间的强自干扰(SI),需要解决如何消除耦合的问题,该问题在低功率传输的高超高频(UHF)频段上已经得到了很大的解决。本文提出了一种特别适用于军事相关的低UHF频段(225-400 MHz)大功率军事应用的射频SI对消电路。电路耦合来自发射器的功率,并调谐信号的相位和幅度,与接收的SI破坏性结合,从而隔离接收器和发射器。本文介绍了一个由90°矢量调制器和可切换延迟线组成的概念,用于低损耗和高功率处理的对消电路,使其能够在高达1kw的高发射功率下运行。
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引用次数: 3
Electromagnetic Environment Situational Awareness 电磁环境态势感知
Pub Date : 2021-05-04 DOI: 10.1109/ICMCIS52405.2021.9486420
Yvon Livran, Ir. Vincent Le Nir, S. Couturier, M. Suchanski, P. Kaniewski, J. Romanik, Alexander Hamilton, P. Howland, M. Tracy
Military radio, EW and RF sensor systems operate in a congested and contested electromagnetic environment. The NATO Science and Technology Organization established the Research Task Group 069 in order to take charge of the IST-146 project on Electromagnetic Environment Situational Awareness. The project was aimed at evaluating the operational benefits for NATO in line with the Electromagnetic Spectrum Strategy and at evaluating the Radio Environmental Map (REM) technology. The paper describes the military scenario considered for the study. Its operational analysis establishes the importance of Electromagnetic Spectrum Command and Control integrated with other C2 processes. The description of the data sources, models, and representation is done. Key user benefits are highlighted. Then proposals for possible evolution of electromagnetic operations and spectrum management within NATO are made. The paper further describes the proposed reference architecture based on the Internet of Things (IoT). It establishes how the relationships between the REM elements have been validated through the project scenario. Tests and simulations, carried out for the construction of measurement-based REMs and transmitter localization, are presented. The paper finally describes the proposed demonstration, which enables understanding through visualization of an interference situation and de-confliction by dynamically re-assigning frequencies.
军用无线电、电子战和射频传感器系统在拥挤和有争议的电磁环境中运行。北约科学技术组织成立了069研究任务小组,以负责电磁环境态势感知的IST-146项目。该项目旨在根据电磁频谱战略评估北约的作战效益,并评估无线电环境图(REM)技术。本文描述了该研究所考虑的军事情景。其作战分析确立了电磁频谱指挥与控制与其他C2过程集成的重要性。完成了对数据源、模型和表示的描述。突出显示了关键用户的好处。然后对北约内部电磁作战和频谱管理的可能演变提出了建议。本文进一步描述了基于物联网(IoT)的参考架构。它建立了如何通过项目场景验证REM元素之间的关系。给出了基于测量的REMs的构建和发射机定位的测试和仿真。本文最后描述了所提出的演示,该演示可以通过可视化来理解干扰情况,并通过动态重新分配频率来消除冲突。
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引用次数: 3
Reinforcement Learning Environment for Tactical Networks 战术网络的强化学习环境
Pub Date : 2021-05-04 DOI: 10.1109/ICMCIS52405.2021.9486411
Thies Möhlenhof, N. Jansen, Wiam Rachid
Providing situational awareness is a crucial requirement and a challenging task in the tactical domain. Tactical networks can be characterized as Disconnected, Intermittent and Limited (DIL) networks. The use of cross-layer approaches in DIL networks can help to better utilize the tactical communications resources and thus improve the overall situational awareness perceived by the user. The specification of suitable cross-layer strategies (heuristics) which describe the rules for optimizing the applications remains a challenging task. We introduce an architectural concept which proposes the use of decentralized, machine learning based reinforcement agents to improve the use of network resources in DIL networks. This approach shall lead to more sophisticated strategies which are learned autonomously by the agents. As basis for the training of such reinforcement learning (RL) agents, an architecture for a learning environment is introduced. Since for the training of these agents a large number of scenarios is needed, an additional tactical model is defined. The purpose of the tactical model is to generate scenarios with dynamically changing network conditions and dynamic information exchanges between the applications and thus build the basis for training the RL agents. The tactical model itself is also based on RL agents, which simulate military units in a war gaming environment.
在战术领域,提供态势感知是一项至关重要的要求和具有挑战性的任务。战术网络可以被描述为断开、间歇和有限(DIL)网络。在DIL网络中使用跨层方法可以帮助更好地利用战术通信资源,从而提高用户感知的整体态势感知能力。描述应用程序优化规则的合适的跨层策略(启发式)的规范仍然是一项具有挑战性的任务。我们引入了一个架构概念,该概念提出使用分散的、基于机器学习的强化代理来改善DIL网络中网络资源的使用。这种方法将导致由代理自主学习的更复杂的策略。作为训练这种强化学习(RL)智能体的基础,介绍了一种学习环境的体系结构。由于这些智能体的训练需要大量的场景,因此定义了一个额外的战术模型。战术模型的目的是生成具有动态变化的网络条件和应用程序之间动态信息交换的场景,从而为RL agent的训练奠定基础。战术模型本身也是基于RL代理,它在战争游戏环境中模拟军事单位。
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引用次数: 3
Towards Adaptive QoS in SDN-enabled Heterogeneous Tactical Networks 基于sdn的异构战术网络中的自适应QoS研究
Pub Date : 2021-05-04 DOI: 10.1109/ICMCIS52405.2021.9486391
S. M. Eswarappa, Paulo H. L. Rettore, J. Loevenich, P. Sevenich, R. Lopes
This paper introduces a mechanism to adaptively ensure Quality of Service (QoS) for user data flow by leveraging Software-Defined Networking (SDN) in heterogeneous tactical networks. We start with a hypothesis that an application using the northbound interface of the SDN controller can support the management of unreliable radio links at the edge of tactical networks. Thus, we developed applications to support adaptive shaping of user data flows over data rates supported by VHF and UHF radios, and to ensure the dropping of expired messages. We also introduce a hybrid scheduling mechanism for these user data flows using queuing discipline. The goal is to differentiate IP packets from command and control services with different QoS requirements. Our hypothesis was verified with experiments using four classes of messages with different QoS requirements, such as priority, reliability, and time of expire. Experimental results in an emulated network suggest that our solution can differentiate data flows in a heterogeneous tactical network while ensuring its QoS requirements.
本文介绍了一种在异构战术网络中利用软件定义网络(SDN)自适应保证用户数据流服务质量(QoS)的机制。我们首先假设使用SDN控制器北向接口的应用程序可以支持管理战术网络边缘的不可靠无线电链路。因此,我们开发了应用程序来支持在VHF和UHF无线电支持的数据速率上对用户数据流进行自适应整形,并确保丢弃过期消息。我们还为这些用户数据流引入了一种使用排队规则的混合调度机制。目标是区分具有不同QoS需求的命令和控制服务中的IP数据包。我们的假设通过使用具有不同QoS需求(如优先级、可靠性和过期时间)的四类消息的实验得到验证。仿真网络的实验结果表明,我们的解决方案可以在保证QoS要求的同时区分异构战术网络中的数据流。
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引用次数: 9
Integrating Command & Control, Constructive Simulation and Artificial Intelligence 集成指挥与控制,建设性模拟和人工智能
Pub Date : 2021-05-04 DOI: 10.1109/ICMCIS52405.2021.9486418
Peter Meyer zu Drewer, Hans-Christian Schmitz
Constructive Simulation (CS) systems are applied both in the military and the civilian domain for training operational staff and exploring new Command and Control (C2) procedures. Great expectations are set for the influence of AI technology on enabling and supporting C2 in future scenarios. We will argue that CS systems can be utilized for the development and testing of respective AI-based C2 services. To this end, we will provide architectural considerations regarding the integration of AI technology into CS systems.
建设性模拟(CS)系统应用于军事和民用领域,用于训练作战人员和探索新的指挥与控制(C2)程序。人们对AI技术在未来场景中对C2的启用和支持的影响寄予厚望。我们将讨论CS系统可以用于开发和测试各自的基于ai的C2服务。为此,我们将提供有关将AI技术集成到CS系统中的架构考虑。
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引用次数: 0
Finding a line between trusted and untrusted information on tweets through sequence classification 通过序列分类找到tweet上可信和不可信信息之间的界线
Pub Date : 2021-05-04 DOI: 10.1109/ICMCIS52405.2021.9486423
Albert Pritzkau, Steffen Winandy, Theresa Krumbiegel
The Internet has long since established itself as an indispensable source of information for both organizations and individuals. The lack of social responsibility of many digital platforms, however, offers many incentives for various forms of abuse. Disinformation, propaganda and fake news are just a few examples. Among the actors of information campaigns, we find not only individuals but also state actors with a clear agenda. Often, such information campaigns make use of psychological and rhetorical methods to achieve their goals. The manipulation of information is a major challenge for our democracies. It also presents us with major technical problems to identify and assess risks arising from the dissemination of such information.The following system description presents our approach to the detection of misinformation on social media data, which is twofold. Initially, we subjected the given training data to an exploratory analysis to get an overview of the general structure. Then we framed the given task as a simpler classification problem. In order to distinguish between trusted and untrusted information, using BERT (Bidirectional Encoder Representations from Transformers) as a neural network architecture for sequence classification, we started with a pre-trained model for language representation. In a supervised training step we fine-tuned this model on the given classification task with the provided annotated data.In this paper we would like to discuss both the quality of the training data and the performance of the trained classifier to derive promising directions for future work.
互联网早已成为组织和个人不可缺少的信息来源。然而,许多数字平台缺乏社会责任,为各种形式的滥用提供了许多动机。虚假信息、宣传和假新闻只是其中的几个例子。在信息运动的行动者中,我们不仅发现个人,而且发现有明确议程的国家行动者。通常,这种宣传运动利用心理和修辞的方法来实现他们的目标。对信息的操纵是我们民主国家面临的一个重大挑战。它也给我们提出了重大的技术问题,以确定和评估因传播这种信息而产生的风险。下面的系统描述介绍了我们在社交媒体数据中检测错误信息的方法,这是双重的。首先,我们对给定的训练数据进行探索性分析,以获得总体结构的概述。然后我们将给定的任务框定为一个更简单的分类问题。为了区分可信和不可信的信息,使用BERT(双向编码器表示)作为序列分类的神经网络架构,我们从语言表示的预训练模型开始。在监督训练步骤中,我们使用提供的注释数据对给定的分类任务微调该模型。在本文中,我们想讨论训练数据的质量和训练分类器的性能,为未来的工作得出有希望的方向。
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引用次数: 5
Building a Maritime Picture in the Era of Big Data: The Development of the Geospatial Communication Interface+ 构建大数据时代的海洋图景:地理空间通信接口的发展
Pub Date : 2021-05-04 DOI: 10.1109/ICMCIS52405.2021.9486392
M. S. Syms, Anthony W. Isenor, Brad Chivari, Andrew DeBaie, Alicia Hogue, B. Glessing
The compilation of information in support of Maritime Domain Awareness (MDA) remains an ongoing challenge for defence and security partners. Compounding the historic difficulties of large-scale picture compilation in support of MDA, there is now the challenge of ingesting large volumes of data into systems that were never designed to consume such volumes. The Geospatial Communications Interface Plus (GCI+) represents a redesign of the Royal Canadian Navy (RCN) information architecture to support MDA. Using predominately open source technologies, GCI+ has been shown to maintain pace with the velocity and volume of maritime data. Delivery of the data in a single aggregated stream also enhances monitoring and analysis capabilities of the information system.
支持海域感知(MDA)的信息汇编仍然是国防和安全伙伴面临的一个持续挑战。除了支持MDA的大规模图片编译的历史困难之外,现在还面临着将大量数据摄取到系统中的挑战,而这些系统从未被设计成能够消耗如此大量的数据。地理空间通信接口Plus (GCI+)代表了加拿大皇家海军(RCN)信息体系结构的重新设计,以支持MDA。GCI+主要使用开源技术,已被证明与海事数据的速度和数量保持同步。在单个聚合流中交付数据还增强了信息系统的监控和分析能力。
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引用次数: 1
Performance Analysis of Proactive Neighbor Discovery in a Heterogeneous Tactical Network 异构战术网络中主动邻居发现性能分析
Pub Date : 2021-05-04 DOI: 10.1109/ICMCIS52405.2021.9486398
R. Lopes, Paulo H. L. Rettore, S. M. Eswarappa, J. Loevenich, P. Sevenich
This paper describes a quantitative evaluation of OLSRv2 proactive neighbor discovery in a heterogeneous tactical network using real military radios. Tactical networks generally have low data rates, high latency and hard to predict mobility patterns. The experimental network used in this investigation hosted mobile nodes using three different types of communication technologies, namely VHF (9.6 kbps, 20 km), UHF (240 kbps, 2 km) and SatCom (100-500 kbps - simulated). OLSRv2 was set to use multicast IPs to send hello and topology control messages within intervals suitable for the data rate available; using less than ~5% of the network nominal capacity. Therefore, we analyze results from a testbed with mobile nodes connected to a tactical network using OLSRv2 to create an overlay IP network. The quantitative results suggest that OLSRv2 can be fine-tuned to proactively discover IP nodes in radio networks with quite different link data rates. The trade-off between data overhead and time to converge is discussed over estimated metrics.
本文描述了一种基于真实军用无线电的异构战术网络中OLSRv2主动邻居发现的定量评估。战术网络通常具有低数据速率,高延迟和难以预测的移动模式。本研究中使用的实验网络承载了使用三种不同类型通信技术的移动节点,即VHF (9.6 kbps, 20 km)、UHF (240 kbps, 2 km)和SatCom (100-500 kbps -模拟)。设置OLSRv2使用组播ip在适合可用数据速率的间隔内发送hello和拓扑控制消息;使用不到网络标称容量的~5%。因此,我们分析了使用OLSRv2创建覆盖IP网络的移动节点连接到战术网络的测试平台的结果。定量结果表明,OLSRv2可以进行微调,以主动发现具有不同链路数据速率的无线网络中的IP节点。数据开销和收敛时间之间的权衡是通过估计的度量来讨论的。
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引用次数: 5
Evaluating the Scalability of Group Communication Protocols over Synchronized Cooperative Broadcast 基于同步合作广播的群通信协议可扩展性评估
Pub Date : 2021-05-04 DOI: 10.1109/ICMCIS52405.2021.9486407
Niranjan Suri, M. Breedy, Roberto Fronteddu, A. Morelli, Eelco Cramer, J. Nilsson, A. Hansson, K. Marcus, Andreas Martens
Military operations in Tactical Edge Networks, usually comprised of dismounted soldiers and mobile vehicles, often have to exchange data that is received by multiple nodes in the network with one example being blue force data. Group communications protocols offer an efficient mechanism to handle such dissemination. In this paper, we examine the performance and scalability of a variety of group communications protocols over the Anglova scenario with network sizes ranging from 24 to 96 nodes. In particular, we use the Synchronized Cooperative Broadcast (SCB) radio model, as it is particularly well-suited to such communications. We report on results using the three measures of Delivery Ratio, Latency, and Bandwidth Utilization. The results show that most of the group communications protocols achieve good scalability results.
战术边缘网络中的军事行动通常由下马士兵和移动车辆组成,通常必须交换由网络中的多个节点接收的数据,其中一个例子是蓝军数据。组通信协议提供了一种有效的机制来处理这种传播。在本文中,我们研究了各种组通信协议在Anglova场景下的性能和可扩展性,网络规模从24到96个节点不等。特别是,我们使用同步合作广播(SCB)无线电模型,因为它特别适合这种通信。我们报告的结果使用三种措施的交付率,延迟,和带宽利用率。结果表明,大多数组通信协议都取得了良好的可扩展性效果。
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引用次数: 5
Performance Evaluation of Kubernetes Distributions (K8s, K3s, KubeEdge) in an Adaptive and Federated Cloud Infrastructure for Disadvantaged Tactical Networks Kubernetes分布(K8s, K3s, KubeEdge)在不利战术网络的自适应和联邦云基础设施中的性能评估
Pub Date : 2021-05-04 DOI: 10.1109/ICMCIS52405.2021.9486396
Mattia Fogli, Thomas Kudla, Bram Musters, Geert L. J. Pingen, Casper van den Broek, H. Bastiaansen, Niranjan Suri, S. Webb
The tactical edge domain, primarily consisting of dismounted soldiers and vehicles on the move, are typically interconnected via wireless tactical networks that are limited in terms of bandwidth, reachability, reliability, and latency. Hence, nodes in the tactical network cannot simply rely on assured access to enterprise cloud computing. Instead, they must explore other alternative models to leverage resources that are in situ, by means of a federated cloud architecture that spans the three tiers of dismounted soldiers, vehicles on the move, and operations centers. The NATO IST-168 RTG has been exploring approaches to best exploit available resources in such a federated architecture while living within the constraints of the tactical networks. The first approach has been to evaluate Kubernetes technologies to see if they are able to be deployed over tactical networks and provide the capabilities to dynamically distribute data and computing tasks over a federated cloud infrastructure composed of multiple partner nation networks. This paper provides initial performance results for various Kubernetes distributions (K8s, K3s, KubeEdge) in federated and adaptive tactical networks, leading to recommendations for further development and experimentation.
战术边缘域主要由移动中的下马士兵和车辆组成,通常通过无线战术网络进行互联,而无线战术网络在带宽、可达性、可靠性和延迟方面受到限制。因此,战术网络中的节点不能简单地依赖于对企业云计算的可靠访问。相反,他们必须探索其他替代模型,以利用现有的资源,通过跨三层的联合云架构,包括下车的士兵、移动的车辆和操作中心。北约IST-168 RTG一直在探索在战术网络的约束下,在这种联邦架构中最好地利用可用资源的方法。第一种方法是评估Kubernetes技术,看看它们是否能够部署在战术网络上,并提供在由多个合作伙伴国家网络组成的联合云基础设施上动态分发数据和计算任务的能力。本文提供了各种Kubernetes发行版(k8、k3、KubeEdge)在联邦和自适应战术网络中的初始性能结果,并给出了进一步开发和实验的建议。
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引用次数: 4
期刊
2021 International Conference on Military Communication and Information Systems (ICMCIS)
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