NDLI: Graph-based iterative measurement-denoising and radio-map generation for semi-supervised indoor localisation

Content Provider	IET Digital Library
Author	Fallah, Maryam Pourahmadi, Vahid
Abstract	This study considers the problem of indoor localisation in which the authors try to generate the radio map of the environment based on both labelled and unlabelled measurements (i.e. measurements with and without information about the location that they have been collected). In such problems, the method that has been used for radio-map generation as well as the quality of the measurements (the received signal strength from different environment's WiFi Access Points) are very critical in the overall accuracy of the generated radio map. In this study, they apply two of the well-known graph-based signal processing schemes (namely iterative least square reconstruction and graph-based label propagation) for polishing the input data, determining the outliers and radio-map generation. Experimental results show the superior performance of the proposed method compared to previous schemes.
Starting Page	848
Ending Page	853
Page Count	6
ISSN	17518628
Volume Number	12
e-ISSN	17518636
Issue Number	Issue 7, Apr (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/12/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2017.1161
Journal	IET Communications
Publisher Date	2018-01-29
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Combinatorial Mathematics Graph Theory Graph-based Iterative Measurement Denoising Graph-based Label Propagation Graph-based Signal Processing Scheme Indoor Radio Interpolation And Function Approximation Iterative Least Square Reconstruction Iterative Method Least Squares Approximation Numerical Analysis Radio Link And Equipment Radio Wave Propagation Radio-map Generation Radiotelemetry Received Signal Strength Semisupervised Indoor Localisation Signal Processing And Detection Signal Reconstruction Statistics Telemetry WiFi Access Point
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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