2014 11th Workshop on Positioning, Navigation and Communication (WPNC)最新文献

Path loss and multipath effects in a real world indoor localization scenario 真实世界室内定位场景中的路径损失和多路径效应

2014 11th Workshop on Positioning, Navigation and Communication (WPNC) Pub Date : 2014-03-12 DOI: 10.1109/WPNC.2014.6843300

Stephan Adler, S. Schmitt, M. Kyas

引用次数: 13

Metric velocity and landmark distance estimation utilizing monocular camera images and IMU data 利用单目相机图像和IMU数据估算公制速度和地标距离

2014 11th Workshop on Positioning, Navigation and Communication (WPNC) Pub Date : 2014-03-12 DOI: 10.1109/WPNC.2014.6843308

M. Tkocz, K. Janschek

引用次数: 6

GPS-free cooperative mobile tracking with the application in vehicular networks 无gps协同移动跟踪在车载网络中的应用

2014 11th Workshop on Positioning, Navigation and Communication (WPNC) Pub Date : 2014-03-12 DOI: 10.1109/WPNC.2014.6843293

Arghavan Amini, R. Vaghefi, J. M. Garza, R. Buehrer

{"title":"GPS-free cooperative mobile tracking with the application in vehicular networks","authors":"Arghavan Amini, R. Vaghefi, J. M. Garza, R. Buehrer","doi":"10.1109/WPNC.2014.6843293","DOIUrl":"https://doi.org/10.1109/WPNC.2014.6843293","url":null,"abstract":"In this paper, the problem of mobile tracking in dense environments is studied. The Global Positioning System (GPS) is the most accessible positioning technique. However, GPS does not work properly in indoor and dense areas, as the receiver typically does not have access to a sufficient number of line-of-sight satellites. Therefore, localization in these networks can be alternatively done by using measurements collected within the network and without the aid of any external resources (e.g., GPS). The mobile tracking problem includes several static reference nodes whose locations are fixed and known, and many mobile nodes whose locations are unknown and needed to be determined. The problem of mobile tracking can be solved in two forms: centralized and distributed. A centralized algorithm can result in high complexity and latency, while a distributed algorithm might lead to large estimation errors. In this paper, a novel cooperative localization technique is introduced which is able to deliver a promising localization accuracy while maintain the latency and complexity as low as possible. The performance of the proposed algorithm is compared with those of other algorithms in terms of localization accuracy, latency, and required data communication through computer simulations. The simulation results show the effectiveness of the proposed algorithm in comparison with either centralized and distributed algorithms. An important application of this work is vehicle localization in dense environments where the vehicles do not have access to GPS satellites and must be localized by the elements within the network.","PeriodicalId":106193,"journal":{"name":"2014 11th Workshop on Positioning, Navigation and Communication (WPNC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130732808","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: 13

Combined high-resolution ranging and high data rate wireless communication system in the 60 GHz band 结合60ghz频段的高分辨率测距和高数据速率无线通信系统

2014 11th Workshop on Positioning, Navigation and Communication (WPNC) Pub Date : 2014-03-12 DOI: 10.1109/WPNC.2014.6843304

M. Ehrig, Markus Petri, V. Sark, J. G. Terán, E. Grass

引用次数: 6

Improving positioning in LTE through collaboration 通过协作提升LTE定位

2014 11th Workshop on Positioning, Navigation and Communication (WPNC) Pub Date : 2014-03-12 DOI: 10.1109/WPNC.2014.6843292

R. Vaghefi, R. Buehrer

{"title":"Improving positioning in LTE through collaboration","authors":"R. Vaghefi, R. Buehrer","doi":"10.1109/WPNC.2014.6843292","DOIUrl":"https://doi.org/10.1109/WPNC.2014.6843292","url":null,"abstract":"This paper represents a preliminary study of cooperative positioning in Long Term Evolution (LTE) systems. Many applications, such as location-based services and Enhanced 911 (E911), require that the locations of users in a cellular system are available. The global navigation satellite system (GNSS) is the most accessible positioning systems which are widely used in cellphones. However, poor operation in indoor and dense environments leads us to use cellular localization as a backup solution. In cellular localization, the locations of users are determined via measurements obtained within the network without aid of any external sources (e.g., GNSS). Observed time difference of arrival (OTDOA) is a positioning technique introduced in Release 9 of the 3GPP LTE specification. In OTDOA technique, the User Equipment (UE) measures the time difference of signals between several eNodeBs (base stations in LTE) and uses a trilateration algorithm to find its location. In the current 3GPP LTE specification, the UE can only collect measurements from eNodeBs. Therefore, in many situations, the UE is not able to communicate to a sufficient number of eNodeBs and cannot find its location without ambiguity. In this paper, we propose a cooperative localization technique for LTE systems in which the UE communicates not only with eNodeBs but also with other UEs. It will be shown that cooperative localization can significantly improve the localizability in the network, meaning that more UEs can be localized. Cooperative localization also enhances the accuracy which is highly beneficial for some applications, especially E911. A series of computer simulations are conducted to show the benefits of cooperative localization where the 3GPP simulation parameters are assumed.","PeriodicalId":106193,"journal":{"name":"2014 11th Workshop on Positioning, Navigation and Communication (WPNC)","volume":"296 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117050585","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: 39

Improving the precision of RSSI-based low-energy localization using path loss exponent estimation 利用路径损耗指数估计提高基于rssi的低能定位精度

2014 11th Workshop on Positioning, Navigation and Communication (WPNC) Pub Date : 2014-03-12 DOI: 10.1109/WPNC.2014.6843302

A. Golestani, Neda Petreska, Dennis Wilfert, C. Zimmer

引用次数: 22

A method to enforce map constraints in a particle filter's position estimate 一种在粒子滤波器的位置估计中实施映射约束的方法

2014 11th Workshop on Positioning, Navigation and Communication (WPNC) Pub Date : 2014-03-12 DOI: 10.1109/WPNC.2014.6843284

R. Piché, Mike Koivisto

{"title":"A method to enforce map constraints in a particle filter's position estimate","authors":"R. Piché, Mike Koivisto","doi":"10.1109/WPNC.2014.6843284","DOIUrl":"https://doi.org/10.1109/WPNC.2014.6843284","url":null,"abstract":"When particle filters are used to estimate indoor position with floor plan constraints, it can happen that, even when all the particles lie in the corridor, the particles' mean is not in the corridor. Such a position estimate is perceived by the user as a mistake in the algorithm. Projecting the particles' mean to the nearest corridor location is an obvious ad-hoc solution, but it is not optimal and the trajectory may be discontinuous in time. Another solution is to use a maximum a-posteriori estimate for the particle cloud where the particles in an inaccessible region are eliminated. However, this optimal solution might also have discontinuous trajectory and so it is not ideal for the real time positioning. In this work, the following principled approach is taken. Given a particle cloud representation of a posterior distribution for position, the position estimate is defined as the solution of a least squares problem with linear inequality constraints. This problem can be solved efficiently and reliably using standard numerical optimization algorithms and codes. Results are presented for simulated data and real-world data.","PeriodicalId":106193,"journal":{"name":"2014 11th Workshop on Positioning, Navigation and Communication (WPNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129089663","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: 5

Indoor localization using smartphone inertial sensors 利用智能手机惯性传感器进行室内定位

2014 11th Workshop on Positioning, Navigation and Communication (WPNC) Pub Date : 2014-03-12 DOI: 10.1109/WPNC.2014.6843288

Yang Liu, M. Dashti, Mohd Amiruddin Abd Rahman, Jie Zhang

{"title":"Indoor localization using smartphone inertial sensors","authors":"Yang Liu, M. Dashti, Mohd Amiruddin Abd Rahman, Jie Zhang","doi":"10.1109/WPNC.2014.6843288","DOIUrl":"https://doi.org/10.1109/WPNC.2014.6843288","url":null,"abstract":"Celebrated fingerprinting techniques localize users by statistically learning the signal to location relations. However, collecting a lot of labelled data to train an accurate localization model is expensive and labour-intensive. In this paper, an economic and easy-to-deploy indoor localization model suitable for ubiquitous smartphone platforms is established. The method processes embedded inertial sensors readings through a inertial localization system. A particle filter is developed to integrate the building map constraints and inertial localization results to estimate user's location. To increase the algorithm convergence rate, the user's initial/on-line room-level localization is achieved using WiFi signals. To achieve room-level accuracy, only very few training WiFi data, i.e. one per room or per segment of a corridor, are required. A novel crowdsourcing technique to build and update training database is presented. On these basis, an indoor localization system is proposed and evaluated. The results show that comparable location accuracy to previous approaches without even dense wireless site survey requirements is achievable.","PeriodicalId":106193,"journal":{"name":"2014 11th Workshop on Positioning, Navigation and Communication (WPNC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127625352","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: 37

Improved mobility modeling for indoor localization applications 改进室内定位应用的移动性建模

2014 11th Workshop on Positioning, Navigation and Communication (WPNC) Pub Date : 2014-03-12 DOI: 10.1109/WPNC.2014.6843298

N. Amiot, M. Laaraiedh, B. Uguen

引用次数: 3

External visual positioning system for enclosed carparks 封闭停车场的外部视觉定位系统

2014 11th Workshop on Positioning, Navigation and Communication (WPNC) Pub Date : 2014-03-12 DOI: 10.1109/WPNC.2014.6843287

Jens Einsiedler, Daniel Becker, I. Radusch

引用次数: 17