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2017 15th International Conference on ITS Telecommunications (ITST)最新文献

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An anti-interference method for radio signals based on matching pursuit algorithm 一种基于匹配追踪算法的无线电信号抗干扰方法
Pub Date : 2017-05-29 DOI: 10.1109/ITST.2017.7972213
Dong Liu, Y. Wen, Jinbao Zhang, J. Ren
Since the GSM-R (Global System for Mobile communications-Railways) antenna located on the train roof is very close to the catenary, it often receives electromagnetic transient disturbance due to sliding contact between the pantograph and the catenary. In order to suppress this transient noise and improve the reliability of communication, a transient noise suppressing method for radio signals based on matching pursuit algorithm is proposed. Firstly, An over-complete atomic library that matches only the transient noise in the mixed radio signal is constructed to implement the sparse decomposition of the transient noise. Then, the optimal matching atomic search of the transient noise is proceeded in the atomic library. In this paper, the GMSK modulation signal in GSM-R system is used as the radio signal to be denoised from the transient noise. The simulation results show that this method can effectively deal with the transient noise denoising problem of the radio signal with a high accuracy result and a low distortion of the radio waveform which keeps the original characteristics of the radio signal, the bit error rate of the radio signal polluted by transient noise is significantly reduced after the processing of the algorithm proposed.
由于位于列车车顶的GSM-R(全球移动通信系统-铁路)天线距离接触网非常近,受电弓与接触网之间的滑动接触经常会受到电磁瞬态干扰。为了抑制这种瞬态噪声,提高通信的可靠性,提出了一种基于匹配跟踪算法的无线电信号瞬态噪声抑制方法。首先,构造一个只匹配瞬态噪声的过完备原子库,实现瞬态噪声的稀疏分解;然后,在原子库中对瞬态噪声进行最优匹配原子搜索。本文采用GSM-R系统中的GMSK调制信号作为无线电信号对瞬态噪声进行降噪。仿真结果表明,该方法能有效地处理无线电信号的瞬态噪声去噪问题,结果精度高,无线电波形失真度低,保持了无线电信号的原始特征,对受瞬态噪声污染的无线电信号进行处理后,误码率显著降低。
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引用次数: 0
GNSS based train localization for automatic train operation 基于GNSS的列车自动定位
Pub Date : 2017-05-29 DOI: 10.1109/ITST.2017.7972202
B. Stadlmann, Sebastian Mandl
This paper presents a practically tested solution for the GNSS based train localization of autonomous driving trains. When driving trains without driver on an open access railway track like a regional railway line obstacle detection is compulsory. This obstacle detection requires a reliable and very accurate autonomous train localization at reasonable low costs. The presented solution is based on a set of low cost sensors with GNSS as a vital part of the sensors. The data of the sensors are input for an Extended Kalman filter.
本文提出了一种经过实际测试的基于GNSS的自动驾驶列车定位解决方案。当无人驾驶的列车在开放的铁路轨道上行驶时,如区域铁路线,障碍物检测是必须的。这种障碍物检测需要在合理的低成本下实现可靠且非常精确的自动列车定位。该解决方案基于一套低成本传感器,其中GNSS是传感器的重要组成部分。传感器的数据输入到扩展卡尔曼滤波中。
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引用次数: 2
Challenges and chances for smart rail mobility at mmWave and THz bands from the channels viewpoint 从信道的角度看,毫米波和太赫兹频段智能轨道交通的挑战和机遇
Pub Date : 2017-05-29 DOI: 10.1109/ITST.2017.7972207
K. Guan, Danping He, A. Hrovat, B. Ai, Z. Zhong, T. Kürner
In the new era of “smart rail mobility”, infrastructure, trains, and travelers will be interconnected to achieve optimized mobility, higher safety, and lower costs. In order to realize a seamless high-data rate wireless connectivity, up to dozens of GHz bandwidth is required, and this motivates the exploration of the underutilized millimeter wave (mmWave) as well as the largely unexplored Terahertz (THz) bands. In order to realize the smart rail mobility at mmWave and THz bands, it is critical to gain a thorough understanding of the wireless channels. In this paper, according to the state of the art in research on railway wireless channels, we identify the main technical challenges and the corresponding chances concerning the reference scenario modules, accurate and efficient simulation platform, beamforming strategies, and handover design.
在“智能轨道交通”的新时代,基础设施、列车和旅客将互联互通,实现优化的出行、更高的安全性和更低的成本。为了实现无缝的高数据速率无线连接,需要高达数十GHz的带宽,这激发了对未充分利用的毫米波(mmWave)以及大部分未开发的太赫兹(THz)频段的探索。为了实现毫米波和太赫兹频段的智能轨道交通,深入了解无线信道是至关重要的。本文根据铁路无线信道的研究现状,从参考场景模块、精确高效的仿真平台、波束形成策略和切换设计等方面,明确了铁路无线信道研究面临的主要技术挑战和机遇。
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引用次数: 14
Evaluation of DS/SS-IVC based on location oriented code allocation considering propagation delay 考虑传播延迟的基于位置码分配的DS/SS-IVC评估
Pub Date : 2017-05-29 DOI: 10.1109/ITST.2017.7972226
Kazuki Kobayashi, A. Nakamura, K. Ohno, M. Itami
In this paper, performance of the DS/SS-IVC based on location oriented spreading code allocation is evaluated. In the conventional studies, the use of the Hadamard codes as spreading codes in DS/SS-IVC was proposed and the communication performance was improved because of the orthogonality of the codes. In the conventional studies, it was assumed that the slot synchronization of slotted ALOHA is ideal by using time synchronization of GPS or beacon for synchronism. However, under the actual situations, receiving chip timing of the spreading code is different because vehicles are locating at different positions. As the results, orthogonality of each code is distorted and performance degradation might be caused. Therefore, this study investigates the influence of the propagation delay. The influence of the propagation delay in DS/SS-IVC is evaluated by simulations.
本文对基于位置扩频码分配的DS/SS-IVC系统的性能进行了评价。在传统的研究中,提出在DS/SS-IVC中使用Hadamard码作为扩频码,由于码的正交性提高了通信性能。在传统的研究中,通常采用GPS或信标时间同步的方法,假设开槽ALOHA的槽同步是理想的。但在实际情况下,由于车辆所处位置的不同,接收扩频码的芯片时序也不同。结果,每个代码的正交性被扭曲,可能导致性能下降。因此,本研究探讨了传播延迟的影响。通过仿真分析了传输延迟对DS/SS-IVC的影响。
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引用次数: 1
Virtual assistants and self-driving cars 虚拟助理和自动驾驶汽车
Pub Date : 2017-05-29 DOI: 10.1109/ITST.2017.7972192
Giuseppe Lugano
Self-driving cars are technologically a reality and in the next decade they are expected to reach the highest level of automation. While there is general agreement that an advanced human-autonomous vehicle (HAV) interaction is key to achieve the benefits of self-driving cars, it is less clear what role artificial intelligence (AI) should play in this context. While the scientific community is debating on the role and intersections of AI, autonomous vehicles and related issues, above all ethics, the automotive industry is already presenting AI-based products and services that may influence, in a direction or in another, our technological and societal futures. This paper focuses on virtual assistants, the personification of the car intelligence incorporating, among others, an algorithmic “brain”, a synthetic human “voice” and powerful sensor-based “senses”. Should virtual assistants just assist humans or replace them whenever necessary? Should their scope of action be limited to safety-related driving tasks or to any activity performed in the car or controlled from the car? Although at a very early stage of commercial development, the paper will review the state-of-the-art of in-car virtual assistants underlining their role and functions in the connected and automated driving ecosystem. By drawing from earlier reflections on automation, robots and intelligent agents, it will then identify a series of issues to be addressed by the scientific community, policy-makers and the automotive industry stakeholders.
从技术上讲,自动驾驶汽车已经成为现实,预计在未来十年,它们将达到最高的自动化水平。虽然人们普遍认为,先进的人-自动驾驶汽车(HAV)交互是实现自动驾驶汽车优势的关键,但人工智能(AI)在这种情况下应该扮演什么角色还不太清楚。虽然科学界正在讨论人工智能、自动驾驶汽车和相关问题的作用和交叉点,尤其是伦理问题,但汽车行业已经推出了基于人工智能的产品和服务,这些产品和服务可能会在一个方向或另一个方向上影响我们的技术和社会未来。本文的重点是虚拟助手,汽车智能的人格化,其中包括一个算法“大脑”,一个合成的人类“声音”和强大的基于传感器的“感官”。虚拟助手应该只是帮助人类,还是在必要时取代人类?他们的行动范围是否应该限制在与安全相关的驾驶任务或任何在汽车上执行或从汽车控制的活动?尽管在商业发展的早期阶段,本文将回顾车内虚拟助手的最新技术,强调它们在互联和自动驾驶生态系统中的作用和功能。通过借鉴早期对自动化、机器人和智能代理的反思,它将确定科学界、政策制定者和汽车行业利益相关者需要解决的一系列问题。
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引用次数: 54
An optimal UAV deployment algorithm for bridging communication 桥接通信的最优无人机部署算法
Pub Date : 2017-05-29 DOI: 10.1109/ITST.2017.7972194
H. Ullah, S. McClean, P. Nixon, G. Parr, Chunbo Luo
In recent years, Unmanned Aerial Vehicles (UAVs) have attracted the attention of both the military and civilians because of their deployment in situations where part of the communication infrastructure is destroyed due to bomb blast, earthquake, flood, military operations or landslides. Also UAVs can be used in operations such as search and rescue, surveillance, forest fire monitoring, and border patrolling. Deployment of a UAV in a position where it can provide maximum coverage and high throughput is one of the vital problem that needs to be addressed. In this paper, we have proposed an optimal UAV deployment algorithm (OUDA) in order to bridge communication between two static nodes on the ground. In the proposed algorithm the UAV deploys to a position where it can provide the best communication facilities to both the nodes based on the received signal strength (RSS), and distance between nodes and UAV. Simulation results showed that the algorithm provides maximum throughput and low bit error rate (BER) once the UAV is fixed to an optimal position.
近年来,无人驾驶飞行器(uav)由于在炸弹爆炸、地震、洪水、军事行动或山体滑坡等导致部分通信基础设施被破坏的情况下部署,引起了军民双方的关注。此外,无人机可用于诸如搜索和救援、监视、森林火灾监测和边境巡逻等行动。在能够提供最大覆盖范围和高吞吐量的位置部署无人机是需要解决的关键问题之一。在本文中,我们提出了一种最优无人机部署算法(OUDA),以桥接地面两个静态节点之间的通信。在该算法中,无人机根据接收到的信号强度(RSS)和节点与无人机之间的距离,部署到能够为两个节点提供最佳通信设施的位置。仿真结果表明,该算法在无人机定位到最优位置时能够提供最大的吞吐量和较低的误码率。
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引用次数: 14
An adaptive strategy to mitigate instability in the ETSI DCC: Experimental validation 一种减轻ETSI DCC不稳定性的自适应策略:实验验证
Pub Date : 2017-05-29 DOI: 10.1109/ITST.2017.7972223
Elena Cinque, F. Valentini, A. Iovine, M. Pratesi
Cooperative Intelligent Transport System (C-ITS) applications need a continuous exchange of information between road users and roadside infrastructures. In this regard European Telecommunications Standards Institute (ETSI) has standardized the Cooperative Awareness Basic Service where status messages named Cooperative Awareness Messages (CAMs) are constructed, managed and processed. With the regular exchange of CAM messages, vehicles and roadside units are constantly informed about each others position, dynamics and attributes. Due to this massive dissemination of messages, without properly congestion control, the functionality of both safety and traffic-management C-ITS applications can be compromised. In this paper we consider the ETSI Decentralized Congestion Control (DCC) mechanism and propose a new approach to cope with relative oscillation and unfairness problems. In the proposed solution vehicles adapt their behaviour and DCC decisions according to the surrounding road traffic conditions. DCC functionality and the presented solution have been then validated through an experimental, ITS G5-compliant testbed consisting of real world devices. The obtained results show an improvement in DCC performances, evaluated in terms of machine status and Channel Busy Ratio (CBR) oscillations.
协作式智能交通系统(C-ITS)应用需要道路使用者和路边基础设施之间不断交换信息。在这方面,欧洲电信标准协会(ETSI)对合作感知基本服务进行了标准化,其中构建、管理和处理名为合作感知消息(CAMs)的状态消息。通过定期交换CAM信息,车辆和路边单位可以不断了解彼此的位置、动态和属性。由于这种大规模的信息传播,如果没有适当的拥塞控制,安全和交通管理C-ITS应用程序的功能都可能受到损害。本文考虑了ETSI分散拥塞控制(DCC)机制,提出了一种新的解决相对振荡和不公平问题的方法。在提出的解决方案中,车辆根据周围道路交通状况调整其行为和DCC决策。DCC功能和提出的解决方案已经通过一个由现实世界的设备组成的实验性、符合ITS g5标准的测试平台进行了验证。从机器状态和信道繁忙比(CBR)振荡的角度来评估,得到的结果表明DCC性能有所改善。
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引用次数: 12
A heterogenous wireless system for maritime communication - the netBaltic system architecture 一种用于海上通信的异构无线系统——netBaltic系统架构
Pub Date : 2017-05-29 DOI: 10.1109/ITST.2017.7972190
M. Hoeft, K. Gierlowski, K. Bronk, A. Lipka, R. Niski, K. Zurek
In the article, the concept of a heterogeneous wireless maritime mesh network offering transmission for e.g., e-navigation services is presented. The constrains of existing and competitive solutions are discussed showing the need for a new system. The authors present detailed information about a netBaltic node's architecture and networking mechanisms offering different transmission capabilities and proposed for use on different sea areas. Moreover, the results of the performed measurements campaigns are presented to estimate operational ranges of the described system and its ability to meet the requirements of e-navigation services. Practical advantages of presented solutions are highlighted bringing out new possibilities in e-navigation.
在本文中,提出了异构无线海上网状网络的概念,为电子导航等服务提供传输。讨论了现有和竞争性解决方案的限制,表明需要一个新的系统。作者详细介绍了netBaltic节点的架构和网络机制,提供了不同的传输能力,并建议在不同的海域使用。此外,给出了所执行的测量活动的结果,以估计所描述系统的操作范围及其满足电子导航服务要求的能力。强调了所提出的解决方案的实际优势,为电子导航带来了新的可能性。
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引用次数: 2
A multi-level cooperative perception scheme for autonomous vehicles 一种自动驾驶汽车多级协同感知方案
Pub Date : 2017-05-29 DOI: 10.1109/ITST.2017.7972193
Jose Angel Leon Calvo, R. Mathar
This paper introduces a multi-level cooperative scheme for autonomous vehicles, using the sensors equipped on-board and a communication scheme with the deployed infrastructures. The proposed model focuses on the communication elements, delving into the cooperative aspect between the network components. The first level of the proposed scheme is composed of a multi-sensor data fusion framework using the measurements obtained from the vehicle on-board sensors, in order to detect obstacles in front of the vehicle. The obstacle detection is based on a liner regression fusion rule, which combines the obtained features from several sensors. Once the decision is taken, the vehicle responds consequently using implicit coordination and bringing the network to an uncertain status. Hence, the second level consists on achieving a stable network by applying explicit coordination between the vehicles and the deployed infrastructures. The third level controls the entire network from a centralized perspective using long-range communication links. Using the knowledge obtained from the centralized network, optimization can be achieved using a coordination scheme based on communication. To finalize, the theoretical framework is simulated under realistic conditions obtaining promising results, in terms of obstacle avoidance and network coordination.
本文介绍了一种自动驾驶汽车的多级协作方案,该方案利用车载传感器和部署的基础设施之间的通信方案。该模型以通信元素为中心,深入研究了网络组件之间的协作。该方案的第一级是由一个多传感器数据融合框架组成,该框架利用车载传感器的测量数据来检测车辆前方的障碍物。障碍物检测基于线性回归融合规则,该规则将多个传感器获得的特征结合在一起。一旦做出决策,车辆就会做出相应的隐式协调,使网络处于不确定状态。因此,第二层包括通过在车辆和部署的基础设施之间应用明确的协调来实现稳定的网络。第三层使用远程通信链路从集中的角度控制整个网络。利用从集中式网络中获得的知识,采用基于通信的协调方案实现优化。最后,在现实条件下对理论框架进行了仿真,在避障和网络协调方面取得了令人满意的结果。
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引用次数: 5
5G waveforms for Railway 铁路5G波形
Pub Date : 2017-05-29 DOI: 10.1109/ITST.2017.7972208
Michel Saideh, M. Berbineau, I. Dayoub
In this paper we review the most promising 5G waveform candidates and their robustness to the Railway context and particularly the high speed. We surf in addition the compatibility of these waveforms to the short packet communication and the MIMO technologies which are fundamental components of future wireless communication systems. Interesting solutions to the faced challenges in that regard are explored.
在本文中,我们回顾了最有前途的5G候选波形及其对铁路环境特别是高速环境的鲁棒性。此外,我们还讨论了这些波形与短分组通信和MIMO技术的兼容性,这些技术是未来无线通信系统的基本组成部分。探讨了在这方面面临的挑战的有趣解决方案。
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引用次数: 3
期刊
2017 15th International Conference on ITS Telecommunications (ITST)
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