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Method for RSSI heat map estimation using Radial Basis Functions for fingerprinting localization

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Bibliographic Details
Main Authors: Fong Peng Wye, Kenny, Syed Muhammad Mamduh, Syed Zakaria, Latifah Munirah, Kamarudin, Ammar, Zakaria, Norhawati, Ahmad
Other Authors: pengwye@studentmail.unimap.edu.my
Format: Article
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2022
Subjects:
Fingerprinting localization
Radial Basis Functions
Received signal strength indicator
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75191
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spelling my.unimap-751912022-05-11T02:15:05Z Method for RSSI heat map estimation using Radial Basis Functions for fingerprinting localization Fong Peng Wye, Kenny Syed Muhammad Mamduh, Syed Zakaria Latifah Munirah, Kamarudin Ammar, Zakaria Norhawati, Ahmad pengwye@studentmail.unimap.edu.my Fingerprinting localization Radial Basis Functions Received signal strength indicator Link to publisher's homepage at http://ijneam.unimap.edu.my Radio Frequency (RF) based indoor localization is a challenging task due to the dynamic and multipath factors although many research proposed different improvement strategies in their indoor localization works. This paper discusses an alternative method for RF-based mapping estimation for Received Signal Strength Indicator (RSSI) fingerprinting indoor localization. The RSSI fingerprinting mappings are estimated by different Radial Basis Function (RBF) interpolation methods. The RBF interpolation methods may reduce the number of fingerprint locations required for fingerprinting localization. The predicted RSSI and actual RSSI radio mappings are compared to determine the accuracy of each RBF. The best mean error of 2.008dBm in Inverse Multiquadric RBF is achieved between the actual and predicted mappings in a complex laboratory environment. The RF-based mapping estimation techniques presented in this paper have shown that the effectiveness to fulfil the perquisite of fingerprinting localization with lower time and labour requirement. 2022-05-11T02:15:05Z 2022-05-11T02:15:05Z 2021-12 Article International Journal of Nanoelectronics and Materials, vol.14 (Special Issue), 2021, pages 117-125 1985-5761 (Printed) 1997-4434 (Online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75191 http://ijneam.unimap.edu.my en Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Fingerprinting localization
Radial Basis Functions
Received signal strength indicator
spellingShingle Fingerprinting localization
Radial Basis Functions
Received signal strength indicator
Fong Peng Wye, Kenny
Syed Muhammad Mamduh, Syed Zakaria
Latifah Munirah, Kamarudin
Ammar, Zakaria
Norhawati, Ahmad
Method for RSSI heat map estimation using Radial Basis Functions for fingerprinting localization
description Link to publisher's homepage at http://ijneam.unimap.edu.my
author2 pengwye@studentmail.unimap.edu.my
author_facet pengwye@studentmail.unimap.edu.my
Fong Peng Wye, Kenny
Syed Muhammad Mamduh, Syed Zakaria
Latifah Munirah, Kamarudin
Ammar, Zakaria
Norhawati, Ahmad
format Article
author Fong Peng Wye, Kenny
Syed Muhammad Mamduh, Syed Zakaria
Latifah Munirah, Kamarudin
Ammar, Zakaria
Norhawati, Ahmad
author_sort Fong Peng Wye, Kenny
title Method for RSSI heat map estimation using Radial Basis Functions for fingerprinting localization
title_short Method for RSSI heat map estimation using Radial Basis Functions for fingerprinting localization
title_full Method for RSSI heat map estimation using Radial Basis Functions for fingerprinting localization
title_fullStr Method for RSSI heat map estimation using Radial Basis Functions for fingerprinting localization
title_full_unstemmed Method for RSSI heat map estimation using Radial Basis Functions for fingerprinting localization
title_sort method for rssi heat map estimation using radial basis functions for fingerprinting localization
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2022
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/75191
_version_ 1738511717528240128
score 13.214268

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