2008 5th Workshop on Positioning, Navigation and Communication最新文献_第2页

Cramér-Rao Lower Bounds for hybrid localization of mobile terminals cram<s:1> - rao移动终端混合定位下界

2008 5th Workshop on Positioning, Navigation and Communication Pub Date : 2008-03-27 DOI: 10.1109/WPNC.2008.4510370

C. Fritsche, A. Klein

{"title":"Cramér-Rao Lower Bounds for hybrid localization of mobile terminals","authors":"C. Fritsche, A. Klein","doi":"10.1109/WPNC.2008.4510370","DOIUrl":"https://doi.org/10.1109/WPNC.2008.4510370","url":null,"abstract":"While in outdoor scenarios the global positioning system (GPS) provides accurate mobile station (MS) location estimates in the majority of cases, in dense urban and indoor scenarios GPS often cannot provide reliable MS location estimates, due to the attenuation or complete shadowing of the satellite signals. The existing cellular radio network (CRN)-based localization methods, however, provide MS location estimates in almost every scenario, but they do not reach the accuracy of the MS location estimates provided by GPS. Hybrid localization methods combine MS location information available from measured values of the CRN with MS location information provided by the measured values of GPS. In this paper, a hybrid localization method is proposed that combines received signal level and timing advance measured values from the global system for mobile communication (GSM) and time of arrival measured values from GPS. The best achievable localization accuracy of the proposed hybrid localization method is evaluated in terms of the Cramer-Rao Lower Bound. It is shown that the hybrid localization method significantly improves the localization accuracy compared to existing CRN-based localization methods.","PeriodicalId":277539,"journal":{"name":"2008 5th Workshop on Positioning, Navigation and Communication","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123126011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 30

Hybrid GPS and GSM localization — energy-efficient detection of spatial triggers GPS和GSM混合定位-空间触发的高能效检测

2008 5th Workshop on Positioning, Navigation and Communication Pub Date : 2008-03-27 DOI: 10.1109/WPNC.2008.4510373

N. Deblauwe, G. Treu

{"title":"Hybrid GPS and GSM localization — energy-efficient detection of spatial triggers","authors":"N. Deblauwe, G. Treu","doi":"10.1109/WPNC.2008.4510373","DOIUrl":"https://doi.org/10.1109/WPNC.2008.4510373","url":null,"abstract":"For realizing proactive Location-based Services it is necessary to automatically detect when the mobile device enters or leaves certain geographical zones. Assuming terminal-based positioning like GPS, in a rudimentary approach this can be realized by continuous operation of the GPS receiver, where the generated position fixes are always checked against the zone definition. However, as GPS is very energy-consuming, this will lead to a quick battery drain and thus to a bad user experience. As a possible solution, this paper presents a novel technique which dynamically switches on and off the GPS receiver. The goal is to keep the GPS receiver off as long as possible in order to save energy, while still being able to detect the entering or leaving of a zone. The basic idea is to compare the device's current GSM measurements with the ones taken the last time the GPS was switched on. If, based on that comparison, it can be ruled out that the zone has been entered or left, the GPS receiver may remain switched off. For comparing GSM readings, the classical Common Base Station indicator is extended by considering multiple samples and incorporating values of Received Signal Strength. The paper presents results based on simulated as well as real test data, which underline the validity of the method.","PeriodicalId":277539,"journal":{"name":"2008 5th Workshop on Positioning, Navigation and Communication","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129278882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

Real-time cycle-slip detection and determination for multiple frequency GNSS 多频GNSS的实时周跳检测与确定

2008 5th Workshop on Positioning, Navigation and Communication Pub Date : 2008-03-27 DOI: 10.1109/WPNC.2008.4510355

Z. Dai, S. Knedlik, O. Loffeld

引用次数: 31

Time delay estimation in dense multipath with matched subspace filters 具有匹配子空间滤波器的密集多径时延估计

2008 5th Workshop on Positioning, Navigation and Communication Pub Date : 2008-03-27 DOI: 10.1109/WPNC.2008.4510360

S. Korkmaz, A. V. D. Veen

{"title":"Time delay estimation in dense multipath with matched subspace filters","authors":"S. Korkmaz, A. V. D. Veen","doi":"10.1109/WPNC.2008.4510360","DOIUrl":"https://doi.org/10.1109/WPNC.2008.4510360","url":null,"abstract":"Efficient multipath time delay estimation is of great importance for positioning with Ultra-Wide-Band signals in indoor environments. In dense multipath environments a simple assumption is to model the multipath terms as attenuated and delayed copies of a known waveform. A more realistic model is however the scenario where the pulse shape is different for every multipath term due to scattering effects and the directionality of the antennas. For the purposes of positioning we face three problems. Signal detection, time delay estimation of the strongest path, and leading edge detection. Leading edge detection is necessary since the strongest path may not be the first. We apply Maximum Likelihood Estimation and Generalized Likelihood Ratio Tests to these problems. In the case of a known pulse shape this leads to the well known matched filter. In the case of unknown pulse shape we show that the matched subspace filter is the optimal solution. Another significant property of the matched subspace filter is that it does not require Nyquist rate sampling. Beyond these advantages, the matched subspace filter is not computationally demanding. Finally we discuss various leading edge detection methoods like generalized likelihood rule (GLR) and energy detectors.","PeriodicalId":277539,"journal":{"name":"2008 5th Workshop on Positioning, Navigation and Communication","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116222112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Network boundary recognition via graph-theory 基于图论的网络边界识别

2008 5th Workshop on Positioning, Navigation and Communication Pub Date : 2008-03-27 DOI: 10.1109/WPNC.2008.4510385

G. Destino, G. Abreu

{"title":"Network boundary recognition via graph-theory","authors":"G. Destino, G. Abreu","doi":"10.1109/WPNC.2008.4510385","DOIUrl":"https://doi.org/10.1109/WPNC.2008.4510385","url":null,"abstract":"Wireless sensor networks (WSNs) are considered an adequate solutions for environmental monitoring and surveillance applications, where the physical presence of humans is impossible or costly. In the next future, it is foreseen that nodes will be part of a localization system, that will be able to estimate their locations, aiding the coordination for the most consuming activities such as relaying and routing. However, in some particular conditions, it is useful to know only logical information about the node locations and, specifically it would be sufficient to know if they are in the inner part or at the boundary of the network. In this paper we propose a technique for the identification of nodes at the network boundary, based solely on connectivity information, assumed to be available at a central unit The algorithm is a useful network management tool as it allows one (the central unit) to detect the formation or existence of topological holes, enabling corrective measures such as redeployment in affected areas or warning dead-end nodes of their condition. Since connectivity information is learned overtime by the network sinks (and the coordinator to which they are connected to), the proposed network boundary discovery algorithm incurs no additional cost to the network at steady state of operation. The algorithm is based on a spectral graph clusterization technique, which first tessellates the network in small cells that circumvent (eventual) connectivity holes. Then, the border nodes of each cluster are identified using beetweness centrality scores and clusters are classified by their adjacencies. Since nodes located simultaneously at the boundary of adjacent clusters are obviously not at the border of a hole, the procedure allows the identification of nodes that are exclusively at the boundary of one cluster, ultimately yielding the collection of nodes at the boundaries of the network in general.","PeriodicalId":277539,"journal":{"name":"2008 5th Workshop on Positioning, Navigation and Communication","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117218501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

Stitching orders in patch-and-stitch localization algorithms for wireless sensor networks 无线传感器网络补丁-缝线定位算法中的缝线顺序

2008 5th Workshop on Positioning, Navigation and Communication Pub Date : 2008-03-27 DOI: 10.1109/WPNC.2008.4510380

Oh-Heum Kwon, Ha-Joo Song

引用次数: 1

PNaFF: A modular software platform for testing hybrid position estimation algorithms pnaf:用于测试混合位置估计算法的模块化软件平台

2008 5th Workshop on Positioning, Navigation and Communication Pub Date : 2008-03-27 DOI: 10.1109/WPNC.2008.4510367

M. Raitoharju, Niilo Sirola, S. Ali-Löytty, R. Piché

引用次数: 7

Design and calibration of an inertial sensor system for precise vehicle navigation 用于车辆精确导航的惯性传感器系统的设计与标定

2008 5th Workshop on Positioning, Navigation and Communication Pub Date : 2008-03-27 DOI: 10.1109/WPNC.2008.4510379

H. Qasem, O. Gorgis, L. Reindl

引用次数: 12

Fusion of an uncalibrated camera with velocity information for distance measurement from a moving camera on highways 融合一个未校准的相机与速度信息的距离测量从移动的相机在高速公路上

2008 5th Workshop on Positioning, Navigation and Communication Pub Date : 2008-03-27 DOI: 10.1109/WPNC.2008.4510371

B. Lamprecht, S. Rass, Simone Fuchs, K. Kyamakya

引用次数: 3

Bayesian detection and tracking for joint positioning and multipath mitigation in GNSS GNSS联合定位与多径缓解的贝叶斯检测与跟踪

2008 5th Workshop on Positioning, Navigation and Communication Pub Date : 2008-03-27 DOI: 10.1109/WPNC.2008.4510372

B. Krach, M. Lentmaier, P. Robertson

引用次数: 11