An improved indoor location technique using Kalman Filter

Nik Fariz, Norziana Jamil, Marina Md Din, Mohd Ezanee Rusli, Zahrah Sharudin, Mohamad Afendee Mohamed

Research output: Contribution to journalArticle

Abstract

Indoor positioning technique is used to trace location of entities within a nonspace environment riding from the incapability of GPS to do so. Most of indoor localization techniques proposed by researchers aimed at discovering an optimized solution for indoor location tracking with high precision and accuracy. This paper proposes an improved indoor location technique by implementing Trilateration and Kalman Filter technique that can manipulate noise signal deduced from raw Received Signal Strength Indicator (RSSI). Upon implementing the technique, observation and comparison are made to measure the effectiveness and reliability of the enhanced Kalman Filter in tracking indoor positioning. Our analysis and finding shows that the enhanced indoor positioning technique improves the accuracy significantly.

Original languageEnglish
Pages (from-to)1-4
Number of pages4
JournalInternational Journal of Engineering and Technology(UAE)
Volume7
Issue number2
DOIs
Publication statusPublished - 01 Jan 2018

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Kalman filters
Noise
Research Personnel
Observation
Global positioning system

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Computer Science (miscellaneous)
  • Environmental Engineering
  • Chemical Engineering(all)
  • Engineering(all)
  • Hardware and Architecture

Cite this

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An improved indoor location technique using Kalman Filter. / Fariz, Nik; Jamil, Norziana; Md Din, Marina; Rusli, Mohd Ezanee; Sharudin, Zahrah; Mohamed, Mohamad Afendee.

In: International Journal of Engineering and Technology(UAE), Vol. 7, No. 2, 01.01.2018, p. 1-4.

Research output: Contribution to journalArticle

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