Lessons learnt from designing indoor positioning system using 868 MHz radios and neural networks

Michał Meina, Bartosz Celmer, Krzysztof Rykaczewski

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper summarizes our approach and experimental evaluation of infrastructure-based Indoor Positioning System (IPS) designed to be used by First Responders. We are using 868 MHz single channel, power-efficient radio markers and RSSI (Receiver Signal Strength Indicator) fingerprinting. Artificial Neural Network translates vectors of RSSI constructed using mobile units into position. Special preprocessing needs to be applied to on-line signal to construct a vector for classification.

Original languageEnglish
Title of host publicationProceedings of the 2015 Federated Conference on Computer Science and Information Systems, FedCSIS 2015
EditorsMarcin Paprzycki, Leszek Maciaszek, Maria Ganzha, Leszek Maciaszek
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages101-107
Number of pages7
ISBN (Electronic)9788360810651
DOIs
StatePublished - 2015
Externally publishedYes
EventFederated Conference on Computer Science and Information Systems, FedCSIS 2015 - Lodz, Poland
Duration: Sep 13 2015Sep 16 2015

Publication series

NameProceedings of the 2015 Federated Conference on Computer Science and Information Systems, FedCSIS 2015

Conference

ConferenceFederated Conference on Computer Science and Information Systems, FedCSIS 2015
Country/TerritoryPoland
CityLodz
Period09/13/1509/16/15

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