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2017 14th Workshop on Positioning, Navigation and Communications (WPNC)最新文献

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Anchorless underwater acoustic localization 无锚水声定位
Pub Date : 2017-10-25 DOI: 10.1109/WPNC.2017.8250051
Elizaveta Dubrovinskaya, R. Diamant, P. Casari
We consider the problem of estimating the trajectory of a submerged source emitting acoustic signals without using any anchor nodes or receiving array. This approach is required for several applications, including the localization of acoustic sources such as marine mammals or underwater vehicles, for which the cost of covering a broad area with multiple receivers would be excessively high. Since multi-lateration is impossible in this scenario, we perform localization by incorporating bathymetry information. Specifically, we assume that the receiver retains knowledge of the environmental parameters that affect the signal propagation, and that the bathymetry of the area is sufficiently diverse to induce distinguishable channel impulse responses for different source locations. Our method compares the channel estimates obtained from the received acoustic signals against a database of channel responses, pre-computed through an acoustic ray tracing model. The set of possible node locations that result are then organized in trellis form to obtain a final estimate of the source's trajectory via a path tracking method similar to the Viterbi algorithm. Our results show that the proposed approach can estimate node locations and paths with very small error, provided that the receiver has sufficiently accurate and up-to- date environmental information.
我们考虑了在不使用锚节点或接收阵列的情况下估计水下源发射声信号轨迹的问题。许多应用都需要这种方法,包括定位声源,如海洋哺乳动物或水下航行器,因为用多个接收器覆盖大面积的成本太高。由于在这种情况下不可能进行多方位定位,因此我们通过结合水深信息来进行定位。具体来说,我们假设接收器保留了影响信号传播的环境参数的知识,并且该区域的水深测量足够多样化,可以诱导不同源位置的可区分信道脉冲响应。我们的方法将从接收到的声信号中获得的通道估计与通过声射线追踪模型预先计算的通道响应数据库进行比较。然后将结果的可能节点位置集组织成网格形式,通过类似于Viterbi算法的路径跟踪方法获得源轨迹的最终估计。我们的研究结果表明,只要接收器具有足够准确和最新的环境信息,该方法可以以非常小的误差估计节点位置和路径。
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引用次数: 7
MRC implementation of super MDS for efficient 2D localization MRC实现超级MDS,实现高效的2D定位
Pub Date : 2017-10-01 DOI: 10.1109/WPNC.2017.8250052
Alireza Ghods, S. Severi, G. Abreu
We address the problem of localization using distance and angle information heterogeneously with the aim to create a robust algorithm with high accuracy and reduced complexity. In this paper, we propose a new localization algorithm, namely Maximum Ration Combining SMDS (MRC-SMDS) based on the fundamentals of two state of the art algorithms, namely Super MDS (SMDS) and Cholesky MDS (CMDS). The complex representation of the coordinates enables us to formulate the localization problem into a linear system of equations with a low complexity least square solution. The new algorithm shows to outperform the two state of the art in terms of localization accuracy and computation speed both under theoretical and practical scenarios. Therefore MRC-SMDS is shown to be a reliable candidate for localization specially for power constraint large networks with high mobility.
我们利用异构的距离和角度信息来解决定位问题,目的是创建一个具有高精度和低复杂度的鲁棒算法。本文在Super MDS (SMDS)和Cholesky MDS (CMDS)两种定位算法的基础上,提出了一种新的定位算法,即Maximum Ration combined SMDS (MRC-SMDS)。坐标的复杂表示使我们能够将定位问题表述为具有低复杂度最小二乘解的线性方程组。在理论和实际场景下,新算法在定位精度和计算速度方面都优于目前两种方法。因此,MRC-SMDS被证明是一种可靠的定位候选者,特别是对于具有高移动性的功率约束的大型网络。
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引用次数: 0
Requirements to positioning solution for mobility 4.0 移动4.0定位解决方案要求
Pub Date : 2017-10-01 DOI: 10.1109/WPNC.2017.8250077
Hiro Onishi, Kazuo Yoshida, Hiroyuki Satoh
Vehicle applications with positioning functionality, such as route guidance navigation, emergency calls, and stolen vehicle tracking, have provided safety and convenience to drivers, passengers, vehicle-owners, and society. Now, positioning solutions become key for the success of connected/automated vehicles, bringing a new paradigm of surface transportation called Mobility 4.0. New applications of Mobility 4.0, such as on- demand mobility, car sharing, and driverless taxis/fleets have specific additional requirements for positioning solutions compared to connected/automated vehicles, such as indoor locations and pedestrians/cyclists' locations. However, until now, positioning solutions for Mobility 4.0 have not been researched deeply, compared to positioning solutions for connected/automated vehicles. Therefore, in this report, we first examine requirements to positioning solutions from Mobility 4.0. Then, we introduce existing and emerging positioning solutions, including their advantages and challenges applied to Mobility 4.0 applications. Finally, we examine various positioning solutions based on Mobility 4.0 requirements (including parameters such as location accuracy and time delay/resolution) in areas such as indoor locations, pedestrians/cyclists' locations, and mobility.
具有定位功能的车辆应用程序,如路线引导导航、紧急呼叫和被盗车辆跟踪,为驾驶员、乘客、车主和社会提供了安全和便利。如今,定位解决方案成为联网/自动化车辆成功的关键,带来了一种名为“移动4.0”的地面交通新模式。移动4.0的新应用,如按需移动、汽车共享和无人驾驶出租车/车队,与联网/自动化车辆相比,对定位解决方案有特定的额外要求,如室内位置和行人/骑自行车的位置。然而,到目前为止,与网联/自动驾驶汽车的定位解决方案相比,移动4.0的定位解决方案还没有得到深入的研究。因此,在本报告中,我们首先研究移动4.0对定位解决方案的要求。然后,我们介绍了现有的和新兴的定位解决方案,包括它们在移动4.0应用中的优势和挑战。最后,我们在室内位置、行人/骑自行车者位置和移动性等领域研究了基于Mobility 4.0要求(包括位置精度和时间延迟/分辨率等参数)的各种定位解决方案。
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引用次数: 0
Multiple hypothesis data association for multipath-assisted positioning 多路径辅助定位的多假设数据关联
Pub Date : 2017-10-01 DOI: 10.1109/WPNC.2017.8250069
M. Ulmschneider, C. Gentner, T. Jost, A. Dammann
Global navigation satellite system denied scenarios such as urban canyons or indoors cause a need for alternative precise localization systems. Our approach uses terrestrial signals of opportunity in a multipath-assisted positioning scheme. In multipath-assisted positioning, each multipath component arriving at a receiver is treated as a line-of-sight signal from a virtual transmitter. While the locations of the virtual transmitters are unknown, they can be estimated simultaneously to the user position using a simultaneous localization and mapping (SLAM) approach. An essential feature of SLAM is data association. This paper addresses the data association problem in multipath- assisted positioning, i.e., the identification of correspondences among physical or virtual transmitters. If a user recognizes a previously observed transmitter, it can correct its own position estimate. We generalize a previous version of our multiple hypothesis tracking scheme for data association in multipath- assisted positioning and show by means of simulations how data association improves the positioning accuracy.
全球卫星导航系统否认在城市峡谷或室内等情况下需要替代的精确定位系统。我们的方法在多路径辅助定位方案中使用地面机会信号。在多路径辅助定位中,到达接收机的每个多路径分量被视为来自虚拟发射机的视距信号。虽然虚拟发射机的位置是未知的,但它们可以使用同时定位和绘图(SLAM)方法同时估计到用户位置。SLAM的一个基本特征是数据关联。本文讨论了多路径辅助定位中的数据关联问题,即识别物理或虚拟发射机之间的对应关系。如果用户识别到先前观察到的发射机,它可以纠正自己的位置估计。我们推广了多路径辅助定位中数据关联的多假设跟踪方案,并通过仿真展示了数据关联如何提高定位精度。
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引用次数: 14
Vehicle indoor positioning: A survey 车辆室内定位:调查
Pub Date : 2017-10-01 DOI: 10.1109/WPNC.2017.8250068
Jens Einsiedler, I. Radusch, K. Wolter
Positioning systems play an ever increasing key role in vehicular applications. GNSS-based systems such as GPS represent the predominant primary technology for positioning in this context. However, in densely built-up urban areas, the positional accuracy of GNSS-based systems decreases significantly, and ceases operation indoors due to the lack of line- of-sight to the satellites. In these scenarios and for use cases in which GNSS-based systems do not meet the requirements, the need for alternative localization systems arises. There is a wide range of vehicle indoor positioning approaches ranging from optical systems over IMU-based systems to LiDAR SLAM. In general, all systems can usually be classified by their perspective (internal or external) and their order (absolute or relative). Furthermore, all considered systems are very application-specific, and additionally either require a comprehensive extension of the existing infrastructure or modification of the vehicle.
定位系统在车载应用中发挥着越来越重要的作用。在这种情况下,基于gnss的系统,如GPS,代表了主要的定位技术。然而,在人口密集的城市地区,基于gnss的系统的定位精度明显下降,并且由于缺乏卫星的视线而停止在室内运行。在这些情况下,以及基于gnss的系统不符合要求的用例中,需要替代的定位系统。从基于imu系统的光学系统到激光雷达SLAM系统,有各种各样的车辆室内定位方法。一般来说,所有系统通常可以根据它们的视角(内部或外部)和它们的顺序(绝对或相对)进行分类。此外,所有考虑的系统都是非常具体的应用,并且需要对现有基础设施进行全面扩展或对车辆进行修改。
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引用次数: 17
Real-time integration of E-Mobility data for the implementation of novel energy paradigms 实时集成电动交通数据,实现新型能源模式
Pub Date : 2017-10-01 DOI: 10.1109/WPNC.2017.8250075
M. Mureddu, A. Damiano
The integration between Electric Mobility (EM) and Power Electric Infrastructures (PEI) is the central concept of the Vehicle to Grid (V2G) paradigm, which is seen as crucial for the upcoming transition towards sustainable energy and mobility. The planned adoption of V2G in smart cities foresees the coexistence of two interconnecting layers: a physical layer given by the EM Charging Infrastructure (EMCI), and a virtual layer given by an ICT-based management platform. On one hand, the EMCI will be likely composed of charging stations and Wireless Power Transfer (WPT) systems, allowing a bidirectional power exchange between EM and PEI. On the other hand, the virtual layer will be composed of an Energy Management Platform (EMP) aiming to control these bidirectional power flows. This includes the set of sensors needed to bidirectionally exchange real-time information with the EV fleet and the CI. This paper wants to investigate the state-of-the-art regarding the real-time control of a V2G infrastructure. The aim is to provide information on the V2G control structures proposed in literature, in order to stimulate a cross-field research on the topic.
电动交通(EM)和电力基础设施(PEI)之间的整合是车辆到电网(V2G)范式的核心概念,这对于即将到来的向可持续能源和交通的过渡至关重要。在智慧城市中计划采用的V2G预见了两个互连层的共存:EM充电基础设施(EMCI)提供的物理层和基于ict的管理平台提供的虚拟层。一方面,EMCI可能由充电站和无线电力传输(WPT)系统组成,允许EM和PEI之间的双向电力交换。另一方面,虚拟层将由旨在控制这些双向功率流的能源管理平台(EMP)组成。这包括与电动汽车车队和CI双向交换实时信息所需的一组传感器。本文旨在研究V2G基础设施实时控制的最新技术。目的是提供文献中提出的V2G控制结构的信息,以刺激对该主题的跨领域研究。
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引用次数: 0
Evaluation of time-based ranging methods: Does the choice matter? 评估基于时间的范围方法:选择重要吗?
Pub Date : 2017-10-01 DOI: 10.1109/WPNC.2017.8250066
Mathias Pelka, Daniel Amann, Marco Cimdins, H. Hellbrück
Positioning is useful in a number of applications, for instance smart home, smart factory and health care applications. Time-based ranging methods for positioning are the state-of- the-art but require precise timestamping. Sophisticated ranging methods compensate sources of errors, for instance clock drift caused by a crystal or an asymmetrical measuring principle, to provide precise timestamping. So far, no comprehensive study of different time-based ranging methods using the same hardware and the same evaluation setup was carried out. Consequently, we discuss, implement and evaluate five time-based ranging methods, including Two-Way Ranging, Double Two-Way Ranging, Asymmetrical Double-Sided Two-Way Ranging, Symmetrical DoubleSided Two-Way Ranging and Burst Mode Symmetric DoubleSided Two-Way Ranging. We evaluate accuracy, precision, robustness and run time for the ranging methods and answer the question if the choice of the time-based ranging method matters.
定位在许多应用中都很有用,例如智能家居、智能工厂和医疗保健应用。基于时间的定位方法是最先进的,但需要精确的时间戳。复杂的测距方法补偿误差来源,例如由晶体或不对称测量原理引起的时钟漂移,以提供精确的时间戳。到目前为止,还没有对使用相同硬件和相同评估设置的不同基于时间的测距方法进行综合研究。因此,我们讨论、实现并评估了五种基于时间的测距方法,包括双向测距、双双向测距、不对称双面双向测距、对称双面双向测距和突发模式对称双面双向测距。我们评估了测距方法的准确性、精密度、鲁棒性和运行时间,并回答了选择基于时间的测距方法是否重要的问题。
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引用次数: 11
Wi-Fi butterfly effect in indoor localization: The impact of imprecise ground truth and small-scale fading 室内定位中的Wi-Fi蝴蝶效应:地面真值不精确和小尺度衰落的影响
Pub Date : 2017-10-01 DOI: 10.1109/WPNC.2017.8250049
A. Popleteev
The increasing accuracy of indoor positioning systems makes their evaluation an increasingly challenging task. A number of factors are already known to affect performance of fingerprint-based systems: hardware diversity, device orientation, environment dynamics. This paper presents a new butterfly-like effect in localization experiments. The effect is caused by minor ground truth (GT) errors — that is, small deviations between calibration and test positions. While such deviations are widely considered as purely additive and thus negligible, we demonstrate that even centimeter-scale GT errors are amplified by small-scale radio fading and lead to severe multi-meter Wi-Fi positioning errors. The results show that fingerprint-based localization accuracy quickly deteriorates as GT errors increase towards 0.4 wavelength (5 cm for 2.4 GHz). Beyond that threshold, system's accuracy saturates to about one-third of its original level achievable with precise GT. This effect challenges the impact of the already known accuracy-limiting factors (such as cross-user tests, receiver diversity, device orientation and temporal variations), as they can be partially explained by minor GT errors. Moreover, for smartphone-in-a-hand experiments, this effect directly associates the evaluation outcomes with experimenters' diligence.
随着室内定位系统精度的不断提高,对其进行评估也越来越具有挑战性。我们已经知道有许多因素会影响基于指纹的系统的性能:硬件多样性、设备方向、环境动态。本文在定位实验中提出了一种新的蝴蝶效应。这种影响是由微小的接地真值(GT)误差引起的,即校准位置和测试位置之间的小偏差。虽然这种偏差被广泛认为是纯粹相加的,因此可以忽略不计,但我们证明,即使是厘米尺度的GT误差也会被小规模无线电衰落放大,并导致严重的万米级Wi-Fi定位误差。结果表明,随着GT误差向0.4波长(2.4 GHz时为5 cm)方向增大,基于指纹的定位精度迅速下降。超过这个阈值,系统的精度将饱和到精确GT所能达到的原始水平的三分之一左右。这种影响挑战了已知的精度限制因素(如跨用户测试、接收器分集、设备方向和时间变化)的影响,因为它们可以部分地由较小的GT误差来解释。此外,对于手持智能手机的实验,这种效应直接将评估结果与实验者的勤奋程度联系起来。
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引用次数: 4
Optimized waveform for energy efficient ranging 优化的波形节能测距
Pub Date : 2017-10-01 DOI: 10.1109/WPNC.2017.8250059
E. Staudinger, M. Walter, A. Dammann
Mobile communication terminals exploit existing reference signal structures for propagation delay based positioning. However, the used waveforms are not optimized for energy efficiency and improved ranging performance for positioning. Recently, a parametric waveform with adaptable power spectral density has been proposed in the context of 5G, and has shown an improved ranging performance. In this paper, we investigate the energy reduction of a ranging signal for a targeted ranging performance by adjusting the parametric waveform. We focus on the newly opened 28 GHz frequency band offering 850 MHz of contiguous bandwidth in the United States. Based on derived Ziv-Zakai lower bounds and a mmWave path loss model with shadow fading we determine the optimal waveform parameter. Our results show a transmit power reduction of 4.77 dB compared to existing reference signal structures. Furthermore, we show a link budget example in the context of ITS positioning.
移动通信终端利用现有的参考信号结构进行基于传播延迟的定位。然而,使用的波形没有优化能源效率和改进定位的测距性能。最近,在5G背景下提出了一种具有自适应功率谱密度的参数波形,并显示出改进的测距性能。在本文中,我们研究了通过调整参数波形来降低测距信号的能量以达到目标测距性能。我们专注于新开放的28 GHz频段,在美国提供850 MHz的连续带宽。基于导出的zv - zakai下界和带阴影衰落的毫米波路径损耗模型,确定了最优波形参数。我们的结果表明,与现有的参考信号结构相比,发射功率降低了4.77 dB。此外,我们还展示了ITS定位背景下的链接预算示例。
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引用次数: 0
Indoor localisation using aroma fingerprints: A first sniff 利用香气指纹进行室内定位:第一次闻闻
Pub Date : 2017-10-01 DOI: 10.1109/WPNC.2017.8250046
Philipp Müller, S. Ali-Löytty, J. Lekkala, R. Piché
Electronic noses (eNoses) can detect and classify a large variety of smells. They are, in general, much more sensitive than the human nose. Could they identify different indoor locations based on the locations' characteristic combinations of airborne chemicals? We study in this paper how well location can be determined in an indoor environment using only measurements from an ion mobility spectrometry eNose and a K nearest neighbour (KNN) classifier. Based on the results of test with real-world data eNose-based localisation seems to have potential but there are several questions and issues that still have to be addressed. This paper provides therefore a discussion of questions and issues that have to be studied in the future, and proposes potential solutions.
电子鼻(enses)可以检测和分类各种各样的气味。总的来说,它们比人的鼻子敏感得多。他们能否根据空气中化学物质的特征组合来识别不同的室内位置?在本文中,我们研究了如何在室内环境中仅使用离子迁移谱测量方法和K近邻(KNN)分类器来确定位置。基于实际数据的测试结果显示,基于ense的定位似乎有潜力,但仍有一些问题需要解决。因此,本文提供了在未来必须研究的问题和问题的讨论,并提出了可能的解决方案。
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引用次数: 6
期刊
2017 14th Workshop on Positioning, Navigation and Communications (WPNC)
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