Improving Indoor Localization System Using a Partitioning Technique Based on RSS and ToA
Designing a localization system for an indoor environment faces more challenges because of multipath and interference problems. In this field, the most important techniques used for such environment, are RSS and ToA which need to be improved especially from more interference because of the huge mul...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
middle technical university
2021-03-01
|
Series: | Journal of Techniques |
Subjects: | |
Online Access: | https://journal.mtu.edu.iq/index.php/MTU/article/view/278 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832595092989280256 |
---|---|
author | Mahmood F . Mosleh Faeza A. Abed Zahraa Abbas Hamza |
author_facet | Mahmood F . Mosleh Faeza A. Abed Zahraa Abbas Hamza |
author_sort | Mahmood F . Mosleh |
collection | DOAJ |
description |
Designing a localization system for an indoor environment faces more challenges because of multipath and interference problems. In this field, the most important techniques used for such environment, are RSS and ToA which need to be improved especially from more interference because of the huge multipath problems. In this paper, a case study of a selected building is chosen in order to apply the proposed technique of this research. Such proposal is based on the PT of the area in the case study into MZ. Each zone is allocated special values for the parameters used to estimate the target positions. WI package is used to simulate the case study area and apply such proposal based on RSS and ToA. The results confirm that the estimated locations are close to the real locations by the average error of (2.8) meter and (0.192) meter for ToA corresponding one zone and four zones respectively. In contrast, the results of our experiment show that the accuracy is improved from an average error of (2.4) meter and (0.217) meter for RSS corresponding one zone and four zones respectively. Such results confirm that dividing the case study area into more zones leads to more accuracy.
|
format | Article |
id | doaj-art-0bc17ec5699d4c2fb05e6c479147dafa |
institution | Kabale University |
issn | 1818-653X 2708-8383 |
language | English |
publishDate | 2021-03-01 |
publisher | middle technical university |
record_format | Article |
series | Journal of Techniques |
spelling | doaj-art-0bc17ec5699d4c2fb05e6c479147dafa2025-01-19T11:09:04Zengmiddle technical universityJournal of Techniques1818-653X2708-83832021-03-013110.51173/jt.v3i1.278Improving Indoor Localization System Using a Partitioning Technique Based on RSS and ToAMahmood F . Mosleh0Faeza A. Abed1Zahraa Abbas Hamza2Middle Technical University, Electrical Engineering Technical College, Baghdad, IraqMiddle Technical University- Institute of Technology- BaghdadMiddle Technical University, Electrical Engineering Technical College, Baghdad, Iraq. Designing a localization system for an indoor environment faces more challenges because of multipath and interference problems. In this field, the most important techniques used for such environment, are RSS and ToA which need to be improved especially from more interference because of the huge multipath problems. In this paper, a case study of a selected building is chosen in order to apply the proposed technique of this research. Such proposal is based on the PT of the area in the case study into MZ. Each zone is allocated special values for the parameters used to estimate the target positions. WI package is used to simulate the case study area and apply such proposal based on RSS and ToA. The results confirm that the estimated locations are close to the real locations by the average error of (2.8) meter and (0.192) meter for ToA corresponding one zone and four zones respectively. In contrast, the results of our experiment show that the accuracy is improved from an average error of (2.4) meter and (0.217) meter for RSS corresponding one zone and four zones respectively. Such results confirm that dividing the case study area into more zones leads to more accuracy. https://journal.mtu.edu.iq/index.php/MTU/article/view/278Indoor localizationRSSToAWIMZPT |
spellingShingle | Mahmood F . Mosleh Faeza A. Abed Zahraa Abbas Hamza Improving Indoor Localization System Using a Partitioning Technique Based on RSS and ToA Journal of Techniques Indoor localization RSS ToA WI MZ PT |
title | Improving Indoor Localization System Using a Partitioning Technique Based on RSS and ToA |
title_full | Improving Indoor Localization System Using a Partitioning Technique Based on RSS and ToA |
title_fullStr | Improving Indoor Localization System Using a Partitioning Technique Based on RSS and ToA |
title_full_unstemmed | Improving Indoor Localization System Using a Partitioning Technique Based on RSS and ToA |
title_short | Improving Indoor Localization System Using a Partitioning Technique Based on RSS and ToA |
title_sort | improving indoor localization system using a partitioning technique based on rss and toa |
topic | Indoor localization RSS ToA WI MZ PT |
url | https://journal.mtu.edu.iq/index.php/MTU/article/view/278 |
work_keys_str_mv | AT mahmoodfmosleh improvingindoorlocalizationsystemusingapartitioningtechniquebasedonrssandtoa AT faezaaabed improvingindoorlocalizationsystemusingapartitioningtechniquebasedonrssandtoa AT zahraaabbashamza improvingindoorlocalizationsystemusingapartitioningtechniquebasedonrssandtoa |