Indoor Smartphone Localization Based on LOS and NLOS Identification
Accurate localization technology is essential for providing location-based services. Global positioning system (GPS) is a typical localization technology that has been used in various fields. However, various indoor localization techniques are required because GPS signals cannot be received in indoo...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-11-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/18/11/3987 |
| _version_ | 1817991768566661120 |
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| author | Hyeon Jeong Jo Seungku Kim |
| author_facet | Hyeon Jeong Jo Seungku Kim |
| author_sort | Hyeon Jeong Jo |
| collection | DOAJ |
| description | Accurate localization technology is essential for providing location-based services. Global positioning system (GPS) is a typical localization technology that has been used in various fields. However, various indoor localization techniques are required because GPS signals cannot be received in indoor environments. Typical indoor localization methods use the time of arrival, angle of arrival, or the strength of the wireless communication signal to determine the location. In this paper, we propose an indoor localization scheme using signal strength that can be easily implemented in a smartphone. The proposed algorithm uses a trilateration method to estimate the position of the smartphone. The accuracy of the trilateration method depends on the distance estimation error. We first determine whether the propagation path is line-of-sight (LOS) or non-line-of-sight (NLOS), and distance estimation is performed accordingly. This LOS and NLOS identification method decreases the distance estimation error. The proposed algorithm is implemented as a smartphone application. The experimental results show that distance estimation error is significantly reduced, resulting in accurate localization. |
| first_indexed | 2024-04-14T01:17:51Z |
| format | Article |
| id | doaj.art-46e22f7cd80345a99aa6e7ce824f65ed |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T01:17:51Z |
| publishDate | 2018-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-46e22f7cd80345a99aa6e7ce824f65ed2022-12-22T02:20:48ZengMDPI AGSensors1424-82202018-11-011811398710.3390/s18113987s18113987Indoor Smartphone Localization Based on LOS and NLOS IdentificationHyeon Jeong Jo0Seungku Kim1School of Electronics Engineering, Chungbuk National University, Chungbuk 28644, KoreaSchool of Electronics Engineering, Chungbuk National University, Chungbuk 28644, KoreaAccurate localization technology is essential for providing location-based services. Global positioning system (GPS) is a typical localization technology that has been used in various fields. However, various indoor localization techniques are required because GPS signals cannot be received in indoor environments. Typical indoor localization methods use the time of arrival, angle of arrival, or the strength of the wireless communication signal to determine the location. In this paper, we propose an indoor localization scheme using signal strength that can be easily implemented in a smartphone. The proposed algorithm uses a trilateration method to estimate the position of the smartphone. The accuracy of the trilateration method depends on the distance estimation error. We first determine whether the propagation path is line-of-sight (LOS) or non-line-of-sight (NLOS), and distance estimation is performed accordingly. This LOS and NLOS identification method decreases the distance estimation error. The proposed algorithm is implemented as a smartphone application. The experimental results show that distance estimation error is significantly reduced, resulting in accurate localization.https://www.mdpi.com/1424-8220/18/11/3987indoor localizationLOS/NLOSsmartphonetrilaterationWiFi |
| spellingShingle | Hyeon Jeong Jo Seungku Kim Indoor Smartphone Localization Based on LOS and NLOS Identification Sensors indoor localization LOS/NLOS smartphone trilateration WiFi |
| title | Indoor Smartphone Localization Based on LOS and NLOS Identification |
| title_full | Indoor Smartphone Localization Based on LOS and NLOS Identification |
| title_fullStr | Indoor Smartphone Localization Based on LOS and NLOS Identification |
| title_full_unstemmed | Indoor Smartphone Localization Based on LOS and NLOS Identification |
| title_short | Indoor Smartphone Localization Based on LOS and NLOS Identification |
| title_sort | indoor smartphone localization based on los and nlos identification |
| topic | indoor localization LOS/NLOS smartphone trilateration WiFi |
| url | https://www.mdpi.com/1424-8220/18/11/3987 |
| work_keys_str_mv | AT hyeonjeongjo indoorsmartphonelocalizationbasedonlosandnlosidentification AT seungkukim indoorsmartphonelocalizationbasedonlosandnlosidentification |