Journal ArticleDOI
Wireless RSSI fingerprinting localization
TLDR
This work reviews the various methods to create a radiomap and examines the various aspects such as the density of access points (APs) and impact of an outdated signature map which affect the performance of fingerprinting localization.About:
This article is published in Signal Processing.The article was published on 2017-02-01. It has received 166 citations till now.read more
Citations
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Proceedings Article
WiFi-SLAM Using G aussian Process Latent Variable Models
TL;DR: In this paper, the Gaussian Process Latent Variable Model (GPLVM) is used to reconstruct a topological connectivity graph from a signal strength sequence, which can be used to perform efficient WiFi SLAM.
Journal ArticleDOI
A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation
TL;DR: This survey provides a comprehensive review of cellular localization systems including recent results on 5G localization, and solutions based on wireless local area networks, highlighting those that are capable of computing 3D location in multi-floor indoor environments.
Journal ArticleDOI
Augmentation of Fingerprints for Indoor WiFi Localization Based on Gaussian Process Regression
TL;DR: The experiments show that compared with the original reference fingerprints localization system, the proposed localization system explicitly reduces the localization error and can augment the fingerprints and improve the accuracy of fingerprint-based indoor localization without extra manual calibration or adding dedicated infrastructure.
Journal ArticleDOI
Review of Indoor Positioning: Radio Wave Technology
Tan Kim Geok,Khaing Zar Aung,Moe Sandar Aung,Min Thu Soe,Azlan Abdaziz,Chia Pao Liew,Ferdous Hossain,Chih P. Tso,Wong Hin Yong +8 more
TL;DR: The recent advanced algorithms can offer precise positioning behaviour for an unknown environment in indoor locations as well as the traditional ranging parameters in addition to advanced parameters such as channel state information (CSI), reference signal received power (RSRP), andreference signal received quality (RSRQ) are presented.
Journal ArticleDOI
An Accurate and Robust Approach of Device-Free Localization With Convolutional Autoencoder
TL;DR: A three-layer convolutional autoencoder (CAE) neural network to perform unsupervised feature extraction from raw signals followed by supervised fine-tuning for classification and outperforms the deep CNN and AE in terms of localization accuracy and robust ability against noise.
References
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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
Information Theory, Inference and Learning Algorithms
TL;DR: A fun and exciting textbook on the mathematics underpinning the most dynamic areas of modern science and engineering.
Book
Information theory, inference, and learning algorithms
TL;DR: In this paper, the mathematics underpinning the most dynamic areas of modern science and engineering are discussed and discussed in a fun and exciting textbook on the mathematics underlying the most important areas of science and technology.
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.
Journal ArticleDOI
Survey of Wireless Indoor Positioning Techniques and Systems
TL;DR: Comprehensive performance comparisons including accuracy, precision, complexity, scalability, robustness, and cost are presented.