RSS-based indoor localization system with single base station
The paper proposes an Indoor Localization System (ILS) which uses only one fixed Base Station (BS) with simple non-reconfigurable antennas. The proposed algorithm measures Received Signal Strength (RSS) and maps it to the location in the room by estimating signal strength of a direct line of sight (...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Tech Science Press
2021
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| Online Access: | http://umpir.ump.edu.my/id/eprint/32526/ http://umpir.ump.edu.my/id/eprint/32526/1/RSS%20based%20indoor%20localization%20system%20with%20single%20base%20station.pdf |
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| author | Al-Bawri, Samir Salem Islam, Mohammad Tariqul Jit Singh, Mandeep Jamlos, M. F. Narbudowicz, Adam Ammann, Max J. Schreurs, Dominique M. M. P. |
| author_facet | Al-Bawri, Samir Salem Islam, Mohammad Tariqul Jit Singh, Mandeep Jamlos, M. F. Narbudowicz, Adam Ammann, Max J. Schreurs, Dominique M. M. P. |
| author_sort | Al-Bawri, Samir Salem |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | The paper proposes an Indoor Localization System (ILS) which uses only one fixed Base Station (BS) with simple non-reconfigurable antennas. The proposed algorithm measures Received Signal Strength (RSS) and maps it to the location in the room by estimating signal strength of a direct line of sight (LOS) signal and signal of the first order reflection from the wall. The algorithm is evaluated through both simulations and empirical measurements in a furnished open space office, sampling 21 different locations in the room. It is demonstrated the system can identify user’s real-time location with a maximum estimation error below 0.7 m for 80% confidence Cumulative Distribution Function (CDF) user level, demonstrating the ability to accurately estimate the receiver’s location within the room. The system is intended as a cost-efficient indoor localization technique, offering simplicity and easy integration with existing wireless communication systems. Unlike comparable single base station localization techniques, the proposed system does not require beam scanning, offering stable communication capacity while performing the localization process. |
| first_indexed | 2025-11-15T03:06:45Z |
| format | Article |
| id | ump-32526 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:06:45Z |
| publishDate | 2021 |
| publisher | Tech Science Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-325262021-11-09T07:35:26Z http://umpir.ump.edu.my/id/eprint/32526/ RSS-based indoor localization system with single base station Al-Bawri, Samir Salem Islam, Mohammad Tariqul Jit Singh, Mandeep Jamlos, M. F. Narbudowicz, Adam Ammann, Max J. Schreurs, Dominique M. M. P. TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering The paper proposes an Indoor Localization System (ILS) which uses only one fixed Base Station (BS) with simple non-reconfigurable antennas. The proposed algorithm measures Received Signal Strength (RSS) and maps it to the location in the room by estimating signal strength of a direct line of sight (LOS) signal and signal of the first order reflection from the wall. The algorithm is evaluated through both simulations and empirical measurements in a furnished open space office, sampling 21 different locations in the room. It is demonstrated the system can identify user’s real-time location with a maximum estimation error below 0.7 m for 80% confidence Cumulative Distribution Function (CDF) user level, demonstrating the ability to accurately estimate the receiver’s location within the room. The system is intended as a cost-efficient indoor localization technique, offering simplicity and easy integration with existing wireless communication systems. Unlike comparable single base station localization techniques, the proposed system does not require beam scanning, offering stable communication capacity while performing the localization process. Tech Science Press 2021-10-21 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/32526/1/RSS%20based%20indoor%20localization%20system%20with%20single%20base%20station.pdf Al-Bawri, Samir Salem and Islam, Mohammad Tariqul and Jit Singh, Mandeep and Jamlos, M. F. and Narbudowicz, Adam and Ammann, Max J. and Schreurs, Dominique M. M. P. (2021) RSS-based indoor localization system with single base station. Computers, Materials & Continua, 70 (3). pp. 5437-5452. ISSN 1546-2226. (Published) https://doi.org/10.32604/cmc.2022.020781 https://doi.org/10.32604/cmc.2022.020781 |
| spellingShingle | TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering Al-Bawri, Samir Salem Islam, Mohammad Tariqul Jit Singh, Mandeep Jamlos, M. F. Narbudowicz, Adam Ammann, Max J. Schreurs, Dominique M. M. P. RSS-based indoor localization system with single base station |
| title | RSS-based indoor localization system with single base station |
| title_full | RSS-based indoor localization system with single base station |
| title_fullStr | RSS-based indoor localization system with single base station |
| title_full_unstemmed | RSS-based indoor localization system with single base station |
| title_short | RSS-based indoor localization system with single base station |
| title_sort | rss-based indoor localization system with single base station |
| topic | TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/32526/ http://umpir.ump.edu.my/id/eprint/32526/ http://umpir.ump.edu.my/id/eprint/32526/ http://umpir.ump.edu.my/id/eprint/32526/1/RSS%20based%20indoor%20localization%20system%20with%20single%20base%20station.pdf |