2009 6th Workshop on Positioning, Navigation and Communication最新文献

Aggregate information efficiency in IR-UWB ad-hoc single-hop WSNs IR-UWB单跳无线传感器网络的聚合信息效率

2009 6th Workshop on Positioning, Navigation and Communication Pub Date : 2009-03-19 DOI: 10.1109/WPNC.2009.4907814

G. Rahmatollahi, M. Guirao, P. Nardelli, G. Abreu

引用次数: 1

Modelling of free-running clocks for a virtually synchronized microwave locating system 虚拟同步微波定位系统中自由运行时钟的建模

2009 6th Workshop on Positioning, Navigation and Communication Pub Date : 2009-03-19 DOI: 10.1109/WPNC.2009.4907819

L. Patino-Studencki, Andreas Eidloth, J. Thielecke

引用次数: 9

Beyond position - spatial context for mobile information retrieval systems 移动信息检索系统的超越位置-空间环境

2009 6th Workshop on Positioning, Navigation and Communication Pub Date : 2009-03-19 DOI: 10.1109/WPNC.2009.4907815

Dirk Ahlers, Susanne CJ Boll

引用次数: 13

GPS/INS integration for GF-IMU of twelve mono-axial accelerometers configurations GPS/INS集成的12单轴加速度计配置的GF-IMU

2009 6th Workshop on Positioning, Navigation and Communication Pub Date : 2009-03-19 DOI: 10.1109/WPNC.2009.4907825

E. Edwan, S. Knedlik, Junchuan Zhou, O. Loffeld

引用次数: 11

Directional UWB channel simulator 定向超宽带信道模拟器

2009 6th Workshop on Positioning, Navigation and Communication Pub Date : 2009-03-19 DOI: 10.1109/WPNC.2009.4907822

A. Muqaibel, U. Johar

引用次数: 7

A new localization and Accuracy Analyzer for Wireless Sensor Networks using defective observations 一种基于缺陷观测的无线传感器网络定位与精度分析仪

2009 6th Workshop on Positioning, Navigation and Communication Pub Date : 2009-03-19 DOI: 10.1109/WPNC.2009.4907808

A. Born, F. Niemeyer

引用次数: 2

Applications of high and low data rate UWB technology in public transportation 高、低数据速率超宽带技术在公共交通中的应用

2009 6th Workshop on Positioning, Navigation and Communication Pub Date : 2009-03-19 DOI: 10.1109/WPNC.2009.4907839

S. Bovelli, F. Leipold, W. Fischer

引用次数: 1

Practical indoor tracking using Wireless Sensor Networks 实际室内跟踪使用无线传感器网络

2009 6th Workshop on Positioning, Navigation and Communication Pub Date : 2009-03-19 DOI: 10.1109/WPNC.2009.4907829

Hongli Xu, Liusheng Huang, Tao Xu, Yongkai Huo, Yang Wang

{"title":"Practical indoor tracking using Wireless Sensor Networks","authors":"Hongli Xu, Liusheng Huang, Tao Xu, Yongkai Huo, Yang Wang","doi":"10.1109/WPNC.2009.4907829","DOIUrl":"https://doi.org/10.1109/WPNC.2009.4907829","url":null,"abstract":"RF techniques have attracted much attention for the indoor tracking, because of its better penetrability than traditional techniques, such as infrared or ultrasound. Generally, existing systems mostly focuses on the localization of the mobile entity. In fact, area information is also an important requirement for some applications, such as intelligent museum explanation, etc. Also, the area information may help to improve the location precision. This paper introduces the Area-Point Indoor Tracking (AIT) system which we have designed and developed on the platform with 22 MicaZ motes. The significant difference from the previous systems is that the proposed tracking procedure is divided into two major steps, i.e., area decision and point localization. And the beacon-correlation algorithm (BCA) and the shadowing-grid localization (SGL) algorithm are designed to solve the above two challenging problems respectively. The evaluation results on the platform show that the BCA algorithm can improve the precision of area decision of MERIT from 71% to 86%, and the SGL algorithm decreases 32% location error compared with Ecolocation algorithm.","PeriodicalId":233265,"journal":{"name":"2009 6th Workshop on Positioning, Navigation and Communication","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122680726","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: 2

Overview of MAC layer enhancements for IEEE 802.15.4a IEEE 802.15.4a MAC层增强概述

2009 6th Workshop on Positioning, Navigation and Communication Pub Date : 2009-03-19 DOI: 10.1109/WPNC.2009.4907802

Johannes Hund, R. Kraemer, C. Schwingenschlögl, Andreas Heinrich

引用次数: 0

NLOS channel identification and mitigation in Ultra Wideband ToA-based Wireless Sensor Networks 基于toa的超宽带无线传感器网络中NLOS信道识别与缓解

2009 6th Workshop on Positioning, Navigation and Communication Pub Date : 2009-03-19 DOI: 10.1109/WPNC.2009.4907804

N. Alsindi, C. Duan, Jinyun Zhang, T. Tsuboi

{"title":"NLOS channel identification and mitigation in Ultra Wideband ToA-based Wireless Sensor Networks","authors":"N. Alsindi, C. Duan, Jinyun Zhang, T. Tsuboi","doi":"10.1109/WPNC.2009.4907804","DOIUrl":"https://doi.org/10.1109/WPNC.2009.4907804","url":null,"abstract":"Recently, Ultra Wideband (UWB) Time of Arrival (ToA)-based localization in Wireless Sensor Networks (WSNs) have received considerable attention. For a typical WSN operating in indoor environments, the localization performance can be degraded considerably due to the existence of non-line-of-sight (NLOS) channel conditions between the sensor nodes. In these channel conditions the ranging accuracy is degraded due to the attenuation and/or loss of the Direct Path (DP) signal which ultimately imposes a positive bias on the ToA-based distance estimation. As a result there is a need for robust algorithms that have the capability to identify and mitigate those NLOS ranging conditions. In this paper, we propose a novel, low complexity wireless channel condition estimation algorithm that identifies the condition of the channel. Based on the estimated ToA and Received Signal Strength (RSS) the algorithm identifies the channel condition which can be either LOS, NLOS - DP available, or NLOS - DP not available. A channel measurement campaign was conducted in an office environment and the measurement results confirms the validity of our algorithm. To integrate our channel condition estimation into the localization schemes, we propose two weight assignment schemes which generate either a “soft weight” or a “hard weight”. Simulation results show that our estimator has robust performance with success rate of 85%. The simulations also show that by taking advantage of the channel condition estimation, we are able to reduce the RMSE of the localization estimate by over 40%.","PeriodicalId":233265,"journal":{"name":"2009 6th Workshop on Positioning, Navigation and Communication","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125205768","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: 43