Performance Analysis of the New Filtering Algorithm with Kalman on Indoor Positioning System

Lucas Susanto, Tohari Ahmad*

*Corresponding author for this work

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

Abstract

Location-based service (LBS) is a context-aware service, which has an awareness of its surroundings. An accurate user positioning system is required for LBS. Indoor Positioning System (IPS) is essential for LBS to determine user position in an indoor environment. The new filtering algorithm increases the accuracy of IPS, but it does not consider the fluctuation of the received signal strength index (RSSI) values, which affects the prediction results. This research describes an accuracy and performance analysis of the new filtering algorithm with Kalman filter, which is used to process the fluctuation of the test signals. The experimental result shows that the proposed method increases the positioning accuracy and computational time by as much as 0.4% and eight milliseconds, respectively than the existing method. This has made it applicable in most environments.

Original languageEnglish
Title of host publicationHybrid Intelligent Systems - 21st International Conference on Hybrid Intelligent Systems, HIS 2021
EditorsAjith Abraham, Patrick Siarry, Vincenzo Piuri, Niketa Gandhi, Gabriella Casalino, Oscar Castillo, Patrick Hung
PublisherSpringer Science and Business Media Deutschland GmbH
Pages253-261
Number of pages9
ISBN (Print)9783030963040
DOIs
Publication statusPublished - 2022
Event21st International Conference on Hybrid Intelligent Systems, HIS 2021 and 17th International Conference on Information Assurance and Security, IAS 2021 - Virtual, Online
Duration: 14 Dec 202116 Dec 2021

Publication series

NameLecture Notes in Networks and Systems
Volume420 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference21st International Conference on Hybrid Intelligent Systems, HIS 2021 and 17th International Conference on Information Assurance and Security, IAS 2021
CityVirtual, Online
Period14/12/2116/12/21

Keywords

  • Indoor positioning system
  • Location-based service
  • Network infrastructure

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