Journal ArticleDOI
Survey of Wireless Indoor Positioning Techniques and Systems
Hui Liu,Houshang Darabi,Pat Banerjee,Jing Liu +3 more
- Vol. 37, Iss: 6, pp 1067-1080
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TLDR
Comprehensive performance comparisons including accuracy, precision, complexity, scalability, robustness, and cost are presented.Abstract:
Wireless indoor positioning systems have become very popular in recent years. These systems have been successfully used in many applications such as asset tracking and inventory management. This paper provides an overview of the existing wireless indoor positioning solutions and attempts to classify different techniques and systems. Three typical location estimation schemes of triangulation, scene analysis, and proximity are analyzed. We also discuss location fingerprinting in detail since it is used in most current system or solutions. We then examine a set of properties by which location systems are evaluated, and apply this evaluation method to survey a number of existing systems. Comprehensive performance comparisons including accuracy, precision, complexity, scalability, robustness, and cost are presented.read more
Citations
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Journal ArticleDOI
ER-CRLB: An Extended Recursive Cramér–Rao Lower Bound Fundamental Analysis Method for Indoor Localization Systems
TL;DR: It is demonstrated that the ER-CRLB exploits all the available information for the indoor localization systems and serves as a fundamental limit of the unbiased estimation accuracy.
Journal ArticleDOI
Memoryless Techniques and Wireless Technologies for Indoor Localization with the Internet of Things.
TL;DR: This article examines two memoryless positioning techniques, KNN and Naive Bayes, and compares them with simple trilateration, in terms of accuracy, precision, and complexity, and presents a comprehensive analysis between the techniques through the use of three popular IoT wireless technologies.
Proceedings ArticleDOI
Fingerprinting localization based on affinity propagation clustering and artificial neural networks
TL;DR: This paper introduces affinity propagation (AP) clustering algorithm to reduce the computation cost and memory overhead, and explores the properties of radio basis function (RBF) neural networks that may affect the accuracy of the proposed fingerprinting localization systems.
Journal ArticleDOI
A Participatory Service Platform for Indoor Location-Based Services
TL;DR: The proposed service platform provides an autonomous site-training tool for site trainers and a sample application for continuous contributions by individuals that takes advantage of crowdsourcing-based service construction and offloads the service costs.
Proceedings ArticleDOI
Research on WiFi Indoor Location Algorithm Based on RSSI Ranging
Pengfei Wang,Yufeng Luo +1 more
TL;DR: A weighted centroid algorithm of no height influence is proposed considering the influence of access point(AP) deployment height on positioning accuracy and shows a certain increase on the accuracy and stability.
References
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Book
The Nature of Statistical Learning Theory
TL;DR: Setting of the learning problem consistency of learning processes bounds on the rate of convergence ofLearning processes controlling the generalization ability of learning process constructing learning algorithms what is important in learning theory?
Journal ArticleDOI
Wireless sensor networks: a survey
TL;DR: The concept of sensor networks which has been made viable by the convergence of micro-electro-mechanical systems technology, wireless communications and digital electronics is described.
Proceedings ArticleDOI
RADAR: an in-building RF-based user location and tracking system
TL;DR: RADAR is presented, a radio-frequency (RF)-based system for locating and tracking users inside buildings that combines empirical measurements with signal propagation modeling to determine user location and thereby enable location-aware services and applications.
Book
An Introduction to Support Vector Machines
TL;DR: This book is the first comprehensive introduction to Support Vector Machines, a new generation learning system based on recent advances in statistical learning theory, and introduces Bayesian analysis of learning and relates SVMs to Gaussian Processes and other kernel based learning methods.
Journal ArticleDOI
The active badge location system
TL;DR: A novel system for the location of people in an office environment is described, where members of staff wear badges that transmit signals providing information about their location to a centralized location service, through a network of sensors.