2008 5th Workshop on Positioning, Navigation and Communication最新文献_第3页

Distributed selection of references for localization in wireless sensor networks 无线传感器网络中定位参考点的分布式选择

2008 5th Workshop on Positioning, Navigation and Communication Pub Date : 2008-03-27 DOI: 10.1109/WPNC.2008.4510354

D. Lieckfeldt, J. You, D. Timmermann

引用次数: 17

Moment based CNR estimators for BOC/BPSK modulated signal for Galileo/GPS 基于矩的伽利略/GPS BOC/BPSK调制信号CNR估计

2008 5th Workshop on Positioning, Navigation and Communication Pub Date : 2008-03-27 DOI: 10.1109/WPNC.2008.4510366

A.K.M. Islam, E. Lohan, M. Renfors

引用次数: 6

Performance of UWB and its suitability for wireless sensors 超宽带的性能及其对无线传感器的适用性

2008 5th Workshop on Positioning, Navigation and Communication Pub Date : 2008-03-27 DOI: 10.1109/WPNC.2008.4510364

S. Olonbayar, R. Kraemer

引用次数: 2

Some considerations concerning the influence of the inertial sensors errors on the solution of navigation for a bidimensional strap-down inertial navigation system 关于惯性传感器误差对二维捷联惯导系统导航解的影响的一些考虑

2008 5th Workshop on Positioning, Navigation and Communication Pub Date : 2008-03-27 DOI: 10.1109/WPNC.2008.4510369

T. Grigorie

引用次数: 1

Localization using directional antennas and recursive estimation 利用定向天线和递归估计进行定位

2008 5th Workshop on Positioning, Navigation and Communication Pub Date : 2008-03-27 DOI: 10.1109/WPNC.2008.4510377

M. Nilsson

引用次数: 8

GNSS quality in pedestrian applications - a developer perspective 行人应用中的 GNSS 质量--开发人员的视角

2008 5th Workshop on Positioning, Navigation and Communication Pub Date : 2008-03-27 DOI: 10.1109/WPNC.2008.4510356

Dirk Ahlers, M. Pielot, D. Wichmann, Susanne CJ Boll

引用次数: 14

Tracking multiple dynamic targets in LoS-NLoS condition with multidimensional scaling 基于多维尺度跟踪LoS-NLoS条件下的多个动态目标

2008 5th Workshop on Positioning, Navigation and Communication Pub Date : 2008-03-27 DOI: 10.1109/WPNC.2008.4510382

D. Macagnano, G. Abreu

{"title":"Tracking multiple dynamic targets in LoS-NLoS condition with multidimensional scaling","authors":"D. Macagnano, G. Abreu","doi":"10.1109/WPNC.2008.4510382","DOIUrl":"https://doi.org/10.1109/WPNC.2008.4510382","url":null,"abstract":"We consider the problem of tracking multiple targets in the presence of noise and a mixture of line-of-sight (LoS) and non-line-of-sight (NLoS) conditions. The targets are assumed to describe independent trajectories with non-stationary (dynamic) statistics, i.e., with variable velocities and accelerations (limited in absolute value). These moving targets are observed by fixed anchors, which measure the distance between themselves and each target periodically. LoS and NLoS conditions are modeled by a first order time-homogeneous Markov chain, such that the occurrence, the intensity and the persistence (duration) of transitions between LoS and NLoS states are random but according to the steady state distribution of the process. The challenge, therefore, is that such variations are difficult to detect in the presence of noise and target mobility, and if not corrected, may result in severe degradation of tracking accuracy. In order to mitigate this problem we introduce a wavelet-based technique to simultaneously attenuate the noise effect on ranging and detect the LoS-NLoS transitions, allowing for their subsequent correction. The technique is non-parametric, in which no knowledge of the statistics of the LoS/NLoS transition process is assumed. The impact of such pre-filtering on the performance of the Multidimensional Scaling (MDS) tracking algorithm (proposed in an earlier work) is studied, and for the LoS case compared against the error performance for classic Extended Kalman Filter (EKF). It is shown that the MDS-based tracking algorithm with Jacobian eigenspace updating together with wavelet pre-filtering is superior (at the region of interest) to the EKF approach, and can well cope with mixed LoS-NLoS scenarios.","PeriodicalId":277539,"journal":{"name":"2008 5th Workshop on Positioning, Navigation and Communication","volume":"117 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":"132657574","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: 11

Challenges of passive infrared indoor localization 被动红外室内定位的挑战

2008 5th Workshop on Positioning, Navigation and Communication Pub Date : 2008-03-27 DOI: 10.1109/WPNC.2008.4510358

J. Kemper, H. Linde

引用次数: 48

A Backtracking Particle Filter for fusing building plans with PDR displacement estimates 一种融合建筑平面图与PDR位移估计的回溯粒子滤波器

2008 5th Workshop on Positioning, Navigation and Communication Pub Date : 2008-03-27 DOI: 10.1109/WPNC.2008.4510376

Widyawan, M. Klepal, S. Beauregard

{"title":"A Backtracking Particle Filter for fusing building plans with PDR displacement estimates","authors":"Widyawan, M. Klepal, S. Beauregard","doi":"10.1109/WPNC.2008.4510376","DOIUrl":"https://doi.org/10.1109/WPNC.2008.4510376","url":null,"abstract":"It is known that Particle Filter and Map Filtering techniques can be used to improve the performance of positioning systems, such as Pedestrian Dead Reckoning (PDR). In previous research on indoor navigation, it was generally assumed that detailed building plans were available. However, in many emer gency / rescue scenarios, there may be only limited building plan information on hand. The purpose of this paper is to show how a novel Backtracking Particle Filter (BPF) can be combined with different levels of building plan detail to improve PDR performance. We use real PDR stride length and blunder-prone stride azimuth data which were collected from multiple walks along paths in and out of a small office building. The PDR displacement data is input to the BPF estimator that in turn uses the building plan information to constrain particle motions. The BPF can take advantage of long-range (geometrical) constraint information and yields excellent positioning performance (1.32 m mean 2D error) with detailed building plan information. More significantly, this same filter using only external wall information produces dramatically improved positioning performance (1.89 m mean 2D error) relative to a PDR-only, no map base case (8.04 m mean 2D error). This effect may very well occur for many other realistic wall layouts and path geometries. Moreover, this result has a substantial practical significance since this level of building plan detail could be quickly and easily generated in many emergency instances.","PeriodicalId":277539,"journal":{"name":"2008 5th Workshop on Positioning, Navigation and Communication","volume":"75 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":"127104224","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: 125

Position estimation in IR-UWB autonomous wireless sensor networks IR-UWB自主无线传感器网络中的位置估计

2008 5th Workshop on Positioning, Navigation and Communication Pub Date : 2008-03-27 DOI: 10.1109/WPNC.2008.4510383

G. Rahmatollahi, M. Guirao, S. Galler, T. Kaiser

引用次数: 9