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
Acoustic NLOS Identification Using Acoustic Channel Characteristics for Smartphone Indoor Localization
TL;DR: The experimental result with an overall 98.9% classification accuracy based on a data set with more than 10 thousand measurements shows that the proposed identification approach and features are effective in acoustic NLOS identification for acoustic indoor localization via a smartphone.
Proceedings ArticleDOI
A 2.45 GHz smart antenna for location-aware single-anchor indoor applications
Alessandro Cidronali,Stefano Maddio,Gianni Giorgetti,I. Magrini,Sandeep K. S. Gupta,Gianfranco Manes +5 more
TL;DR: The paper describes the antenna design, the implementation and the experimental characterization, along with its positioning applications, and the localization results obtained with data collected from indoor measurements, showing an average localization error as low as 1.7 m.
Proceedings Article
Zigbee RF signal strength for indoor location sensing - Experiments and results
TL;DR: It was observed that the location accuracy was improved when the number of reference nodes was increased and in future location accuracy will be improved by combining ZigBee RSSI with GSM CellID and also by using better signal processing algorithms.
Journal ArticleDOI
Modeling the information completeness of object tracking systems
TL;DR: An analytical model is proposed that evaluates the information completeness of object tracking systems based on their size, breadth and reading depth, showing that the larger size of a system's configuration does not ensure better completeness; instead, the effect of reading depth is greater.
Proceedings ArticleDOI
An RFID indoor positioning system by using Particle Swarm Optimization-based Artificial Neural Network
TL;DR: This study proposes a RFID indoor positioning algorithm, which is based on the Particle Swarm Optimization Artificial Neural Network (PSO-ANN), and establishes an accurate classification model that can learn the relationship between the Received Signal Strength Indication (RSSI) and tag position.
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