An improved indoor location technique using Kalman Filter

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

doi:10.14419/ijet.v7i2.14.11141

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 journal › Article › peer-review

4 Citations (Scopus)

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 language	English
Pages (from-to)	1-4
Number of pages	4
Journal	International Journal of Engineering and Technology(UAE)
Volume	7
Issue number	2
DOIs	https://doi.org/10.14419/ijet.v7i2.14.11141
Publication status	Published - 2018
Externally published	Yes

Keywords

Indoor positioning technique
Kalman Filter (KF)
Received Signal Strength Indicator (RS)
Trilateration

ASJC Scopus subject areas

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

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10.14419/ijet.v7i2.14.11141

Cite this

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title = "An improved indoor location technique using Kalman Filter",

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.",

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AU - Fariz, Nik

AU - Jamil, Norziana

AU - Din, Marina Md

AU - Rusli, Mohd Ezanee

AU - Sharudin, Zahrah

AU - Mohamed, Mohamad Afendee

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Indoor positioning technique

KW - Kalman Filter (KF)

KW - Received Signal Strength Indicator (RS)

KW - Trilateration

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An improved indoor location technique using Kalman Filter

Abstract

Keywords

ASJC Scopus subject areas

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