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Mobile device positioning using learning and cooperation
2012
2012 46th Annual Conference on Information Sciences and Systems (CISS)
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The key innovation in our approach is a stochastic parametric model for the fingerprint map that is adaptively tuned using on-line position estimates. ...
The framework naturally extends to enable cooperative positioning in a network of mobile devices and we study the case of vehicle positioning as an illustration. ...
In practice, the likelihood function is not a priori known with high accuracy and one of the key tasks that we address in this paper is how to efficiently estimate it. ...
doi:10.1109/ciss.2012.6310930
dblp:conf/ciss/JovicicKMRZ12
fatcat:xha6stp7mjde5lkr365vmipdhm
Network localization and navigation via cooperation
2011
IEEE Communications Magazine
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Network localization and navigation give rise to a new paradigm for communications and contextual data collection, enabling a variety of new applications that rely on position information of mobile nodes ...
Therefore, a deep understanding of information exchange and cooperation in the network is crucial for the design of location-aware networks. ...
In conventional approaches such as the Global Positioning System (GPS), each agent infers its position using only measurements made with respect to anchors (nodes in the infrastructure with a priori position ...
doi:10.1109/mcom.2011.5762798
fatcat:hpnouuvpq5auxnwuasxqrs22j4
A Bayesian Location Estimation Technique for Mobile Ad Hoc Networks
2006
Mobile Services and Personalized Environments
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The a-priori information is derived from the movement of the mobile node with respect to the position of fixed anchor nodes, and it is exploited to perform Bayesian estimation procedure. ...
In this paper 1 , we propose a simple method to introduce a-priori information in position estimation for mobile ad hoc and sensor networks, in order to improve the estimation accuracy. ...
The a-priori information is derived from knowledge about the movement of the mobile node with respect to the position of somef ixed anchor nodes,a nd it is exploited in a Bayesian [K93] estimation procedure ...
dblp:conf/mspe/CaleffiFP06
fatcat:w3arbdacejgkba7q4ypwz6uyku
Distributed cooperative localization based on Gaussian message passing on factor graph in wireless networks
2014
Science China Information Sciences
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The two proposed algorithms for the application with accurate and inaccurate anchors, respectively, are evaluated by Monte Carlo simulations and compared with the SPAWN and maximum likelihood (ML) estimator ...
In conventional localization, agents may not be able to reach sufficient number of anchors to obtain unambiguous locations, especially in sparse networks. ...
Assume that the a priori distribution of any agent or anchor i's position is p(x i ). ...
doi:10.1007/s11432-014-5172-y
fatcat:wfsncqjihrarhlrnjwqsjaojwq
Bias-Correction In Localization Algorithms
2009
GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference
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Although the method is analyzed in distance-based localization algorithms, it can be extended to other kinds of localization algorithms. ...
To illustrate this approach, we analyze the proposed method in two situations using localization algorithms based on distance measurements. ...
Here we assume further information has been obtained such as an a priori area restriction to resolve this ambiguity problem. ...
doi:10.1109/glocom.2009.5425645
dblp:conf/globecom/JiYA09
fatcat:lbavapghhbhdra4modzke7zk2m
Simultaneous localization and mapping using multipath channel information
2015
2015 IEEE International Conference on Communication Workshop (ICCW)
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Using a-priori knowledge of a floor plan of the environment and the position of the physical anchors, specular multipath components can be exploited, based on a geometricstochastic channel model. ...
So-called virtual anchors (VAs), which are mirror images of the physical anchors, are used as additional anchors for positioning. ...
Using a-priori knowledge of a floor plan of the environment and the position of the physical anchors, specular multipath components can be exploited, based on a geometricstochastic channel model. ...
doi:10.1109/iccw.2015.7247272
dblp:conf/icc/LeitingerMLW15
fatcat:5ww2ymba7vcinfq47sm65ewh4i
Secure Neighbor Discovery in Wireless Sensor Networks Using Range-Free Localization Techniques
2012
International Journal of Distributed Sensor Networks
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believing that it is a neighbor of a set of local nodes. ...
position of a node once the location discovery protocol is finished. ...
); this was expected, because range-free localization methods do not use a priori information about any model for the RSS observed values. ...
doi:10.1155/2012/763187
fatcat:hxhk5ax6zvgarjxjwvp6pxrqva
A review of localization algorithms for distributed wireless sensor networks in manufacturing
2009
International journal of computer integrated manufacturing (Print)
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The first part of the paper provides a description of the most common criteria used to categorize existing network localization algorithms. ...
A taxonomy is then suggested that may be a useful tool to help evaluate, compare and select such algorithms. ...
Position
is estimated performing
a Maximum Likelihood
optimization. ...
doi:10.1080/09511920601182217
fatcat:g57kuuiewrblxkswzmudvpn264
Variational Inference-Based Positioning with Nondeterministic Measurement Accuracies and Reference Location Errors
2017
IEEE Transactions on Mobile Computing
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A mean-field variational inference-based positioning (VIP) algorithm is proposed for cooperative network localization. ...
Finally, a concise Cramer-Rao lower bound (CRLB) is derived to reveal the principle of localization error propagation. ...
ACKNOWLEDGMENTS This work was supported by the NSFC (No. 61271246), and was also partly supported by Royal Academy of Engineering Award (batch reference 1314-2). ...
doi:10.1109/tmc.2016.2640294
fatcat:7dj2hp2a2nbpjjouzhnepoij5i
MODELS, MEANINGS AND MISUNDERSTANDINGS: SOME ISSUES IN APPLYING RASCH'S THEORY
1977
Journal of Educational Measurement
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Wright (1977) shows that a debate is developing between those who strongly advocate use of the Rasch model and those who have certain reservations about the extent to which the model meets some traditional ...
The current article shows that 1) in practice, using least squares estimators as a first step in parameter estimations is neither awkward nor unnecessary; 2) correct interpretations and expressions for ...
Wright (1977) explores the problem of sample size by examining the effect of N on the log likelihood standard errors of item calibration differences, using a two-group comparison of the maximum likelihood ...
doi:10.1111/j.1745-3984.1977.tb00040.x
fatcat:cnuxznhc65hr3fxa7uzl4oggqu
Hierarchical Bayesian-based Indoor Positioning Using Distributed Antenna Systems
2021
2021 17th International Symposium on Wireless Communication Systems (ISWCS)
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This work proposes and evaluates hierarchical Bayesian-based localization methods to estimate the position of a target node in indoor deployment scenarios. ...
The measurements are acquired through a distributed antenna system which is connected to a common master anchor node. ...
The research leading to these results has received funding from the Academy of Finland through the grants No. 318927 (project 6Genesis Flagship) and No. 24303208. ...
doi:10.1109/iswcs49558.2021.9562201
fatcat:dbukmeufljdbbhoypw4e4c3fcy
A Distributed Technique for Localization of Agent Formations From Relative Range Measurements
2012
IEEE transactions on systems, man and cybernetics. Part A. Systems and humans
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In this setting, this paper considers the problem of autonomous distributed estimation of the position of each agent in a networked formation using noisy measurements of interagent distances. ...
The advantage of this distributed approach is that each agent may autonomously compute its position estimate, exchanging information only with its neighbors, without need of communicating with a central ...
The latter is often referred to as bearing localization and can be attacked via maximum likelihood estimation, as described in [18] . ...
doi:10.1109/tsmca.2012.2185045
fatcat:5o6tdoio75bq7d6vgt4fym6bby
A Comprehensive Survey of the Recently Proposed Localization Protocols for Underwater Sensor Networks
2020
IEEE Access
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Underwater Wireless Sensor Networks (UWSNs) offer a huge number of applications, most of which require tagging the sensed data with location information. ...
The surveyed algorithms are evaluated based on a wide-ranging set of parameters which constitute the elementary features of a localization algorithm. ...
General target positioning cases based on the maximum likelihood (ML) criterion are formulated initially. ...
doi:10.1109/access.2020.3027820
fatcat:zcdkkxtsjvgkjlbopd76cq3l6e
Path loss exponent estimation for wireless sensor network localization
2007
Computer Networks
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This may have a significant impact on distance-based wireless sensor network localization. ...
We demonstrate that it is possible to estimate the PLE using only power measurements and the geometric constraints associated with planarity in a wireless sensor network. ...
The PLE is obtained from a maximum likelihood estimator using both power and distance measurements. ...
doi:10.1016/j.comnet.2006.11.007
fatcat:34pianq6szawxnisnzou7owq44
Cooperative Localization in GPS-Limited Urban Environments
[chapter]
2010
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Using simple data sharing and filtering techniques, collaborating users can substantially reduce overall localization error in dead reckoning systems where nodes may have a broad spectrum of location quality ...
If distance measurement is available, filtering location information based on estimated error and confidence can improve accuracy of pedestrian dead reckoning techniques to approximately that of GPS using ...
Excluding positions with large measurement error or low confidence levels reduces the likelihood of worsening positions, while simultaneously leveraging anchors with accurate localization to reset dead ...
doi:10.1007/978-3-642-11723-7_28
fatcat:rb2u3s54hbgibkoq6l2n2p32ke
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