2007 4th Workshop on Positioning, Navigation and Communication最新文献_第5页

MAC layer design for UWB LDR systems: PULSERS proposal 超宽带LDR系统的MAC层设计:脉冲发生器方案

2007 4th Workshop on Positioning, Navigation and Communication Pub Date : 2007-03-22 DOI: 10.1109/WPNC.2007.353646

I. Bucaille, A. Tonnerre, L. Ouvry, B. Denis

{"title":"MAC layer design for UWB LDR systems: PULSERS proposal","authors":"I. Bucaille, A. Tonnerre, L. Ouvry, B. Denis","doi":"10.1109/WPNC.2007.353646","DOIUrl":"https://doi.org/10.1109/WPNC.2007.353646","url":null,"abstract":"This paper details the medium access control (MAC) layer designed in the PULSERS project for low data rate (LDR) systems, whose main features are low power consumption, low complexity location and relaying capabilities. The MAC developed in PULSERS is based on the IEEE 802.15.4 standard, which, in spite of many virtues, is not the ideal solution for the targeted UWB applications. Thus, the MAC implemented in the project deviates from the standard in a few areas such as the support to peer-to-peer communications, the systematic usage of guaranteed time slots for data transmissions (TDMA), dedicated time slots for ranging or allocation requests, specification of a new ranging procedure, and finally, the definition of a relaying functionality in layer 2. Furthermore, as recent application studies have revealed that mesh networking is necessary for most of the targeted applications, mesh algorithms have also been specified and will be implemented in the next release of the PULSERS MAC layer. The paper first presents the applications targeted in the project. Then, it describes the MAC layer proposal, putting the emphasis on its major specificities in comparison with the IEEE 802.15.4 standard. The expected performances are also provided through OPNET simulation results. Finally, the paper focuses on the localization procedures implemented in the MAC layer, and proposes some enhancements of the current implementation with respect to localization.","PeriodicalId":382984,"journal":{"name":"2007 4th Workshop on Positioning, Navigation and Communication","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115302674","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: 34

WLAN-Based Pedestrian Tracking Using Particle Filters and Low-Cost MEMS Sensors 基于粒子滤波和低成本MEMS传感器的无线局域网行人跟踪

2007 4th Workshop on Positioning, Navigation and Communication Pub Date : 2007-03-22 DOI: 10.1109/WPNC.2007.353604

Hui Wang, H. Lenz, A. Szabo, J. Bamberger, U. Hanebeck

引用次数: 204

An ultra-wideband approach towards autonomous radio control and positioning systems in manufacturing & logistics processes 在制造和物流过程中实现自主无线电控制和定位系统的超宽带方法

2007 4th Workshop on Positioning, Navigation and Communication Pub Date : 2007-03-22 DOI: 10.1109/WPNC.2007.353648

H. Luediger, B. Kull, M. Guirao

引用次数: 9

Indoor Navigation with Minimal Infrastructure 最小基础设施的室内导航

2007 4th Workshop on Positioning, Navigation and Communication Pub Date : 2007-03-22 DOI: 10.1109/WPNC.2007.353625

D. Merico, R. Bisiani

引用次数: 16

A Sequential Monte Carlo Method for Target Tracking in an Asynchronous Wireless Sensor Network 异步无线传感器网络中目标跟踪的顺序蒙特卡罗方法

2007 4th Workshop on Positioning, Navigation and Communication Pub Date : 2007-03-01 DOI: 10.1109/WPNC.2007.353612

M. Vemula, J. Míguez, Antonio Artés-Rodríguez

{"title":"A Sequential Monte Carlo Method for Target Tracking in an Asynchronous Wireless Sensor Network","authors":"M. Vemula, J. Míguez, Antonio Artés-Rodríguez","doi":"10.1109/WPNC.2007.353612","DOIUrl":"https://doi.org/10.1109/WPNC.2007.353612","url":null,"abstract":"Target tracking in a wireless sensor network (WSN) has become a relatively standard problem. The WSN typically consists of a collection of sensor nodes, which acquire physical data related to the target dynamics, and a fusion center (FC) where the available data are processed together to sequentially estimate the target state (its instantaneous location and velocity). Very often, tracking algorithms are designed under the assumption that the network is synchronous, i.e., that the local clocks of the sensor nodes and the FC are perfectly aligned or, at least, that their offsets are known. In this paper, we consider an asynchronous WSN, in which the local clocks of the sensors are misaligned and the corresponding offsets are unknown, and aim at designing recursive algorithms for optimal (Bayesian) tracking. In particular, we propose sequential Monte Carlo (SMC) techniques that enable the approximation of the joint posterior probability distribution of the target state and the set of local clock offsets by means of a discrete probability measure with a random support. From this approximation, estimates of the target position and velocity, as well as of the clock offsets, can be readily derived. We illustrate the validity of the proposed approach and assess the performance of the resulting algorithms by means of computer simulations.","PeriodicalId":382984,"journal":{"name":"2007 4th Workshop on Positioning, Navigation and Communication","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124607933","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: 22