Fingerprint localization based on hybrid TOA, AOA, and RSS measurements
Abstract This paper presents a novel joint TOA-AOA-RSS fingerprint localization method aimed at reducing the necessity for collecting extensive fingerprint data for database construction. Initially, The Time-of-Arrival(TOA) is employed for coarse localization to narrow down the fingerprint database....
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| Format: | Article |
| Language: | English |
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Springer
2025-01-01
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| Series: | Discover Applied Sciences |
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| Online Access: | https://doi.org/10.1007/s42452-025-06462-y |
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| author | Shuiwei Liu Lei Tang Zhangsheng Wang |
| author_facet | Shuiwei Liu Lei Tang Zhangsheng Wang |
| author_sort | Shuiwei Liu |
| collection | DOAJ |
| description | Abstract This paper presents a novel joint TOA-AOA-RSS fingerprint localization method aimed at reducing the necessity for collecting extensive fingerprint data for database construction. Initially, The Time-of-Arrival(TOA) is employed for coarse localization to narrow down the fingerprint database. Subsequently, Angle-of-Arrivals(AOAs) and Received Signal Strengths(RSSs) were used as feature parameters to construct the fingerprint database together with the coarse localization coordinates obtained from the TOA. Finally, a matching algorithm is utilized to determine the coordinate of the localization point. Additionally, we introduce an improved self adaptive weighted K nearest neighbor (ISAWKNN) algorithm is proposed based on Hybrid TOA,AOA, and RSS measurements. Simulation results illustrate the proposed algorithm improving the localization accuracy. |
| format | Article |
| id | doaj-art-5b5d1652d27844509c03a0ab9c97de22 |
| institution | Kabale University |
| issn | 3004-9261 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Applied Sciences |
| spelling | doaj-art-5b5d1652d27844509c03a0ab9c97de222025-01-26T12:47:33ZengSpringerDiscover Applied Sciences3004-92612025-01-01721910.1007/s42452-025-06462-yFingerprint localization based on hybrid TOA, AOA, and RSS measurementsShuiwei Liu0Lei Tang1Zhangsheng Wang2School of Physics and Electronic Information, Gannan Normal UniversitySchool of Physics and Electronic Information, Gannan Normal UniversitySchool of Physics and Electronic Information, Gannan Normal UniversityAbstract This paper presents a novel joint TOA-AOA-RSS fingerprint localization method aimed at reducing the necessity for collecting extensive fingerprint data for database construction. Initially, The Time-of-Arrival(TOA) is employed for coarse localization to narrow down the fingerprint database. Subsequently, Angle-of-Arrivals(AOAs) and Received Signal Strengths(RSSs) were used as feature parameters to construct the fingerprint database together with the coarse localization coordinates obtained from the TOA. Finally, a matching algorithm is utilized to determine the coordinate of the localization point. Additionally, we introduce an improved self adaptive weighted K nearest neighbor (ISAWKNN) algorithm is proposed based on Hybrid TOA,AOA, and RSS measurements. Simulation results illustrate the proposed algorithm improving the localization accuracy.https://doi.org/10.1007/s42452-025-06462-yJoint TOA-AOA-RSS fingerprint localizationAngular similarityAn improved SAWKNN algorithm |
| spellingShingle | Shuiwei Liu Lei Tang Zhangsheng Wang Fingerprint localization based on hybrid TOA, AOA, and RSS measurements Discover Applied Sciences Joint TOA-AOA-RSS fingerprint localization Angular similarity An improved SAWKNN algorithm |
| title | Fingerprint localization based on hybrid TOA, AOA, and RSS measurements |
| title_full | Fingerprint localization based on hybrid TOA, AOA, and RSS measurements |
| title_fullStr | Fingerprint localization based on hybrid TOA, AOA, and RSS measurements |
| title_full_unstemmed | Fingerprint localization based on hybrid TOA, AOA, and RSS measurements |
| title_short | Fingerprint localization based on hybrid TOA, AOA, and RSS measurements |
| title_sort | fingerprint localization based on hybrid toa aoa and rss measurements |
| topic | Joint TOA-AOA-RSS fingerprint localization Angular similarity An improved SAWKNN algorithm |
| url | https://doi.org/10.1007/s42452-025-06462-y |
| work_keys_str_mv | AT shuiweiliu fingerprintlocalizationbasedonhybridtoaaoaandrssmeasurements AT leitang fingerprintlocalizationbasedonhybridtoaaoaandrssmeasurements AT zhangshengwang fingerprintlocalizationbasedonhybridtoaaoaandrssmeasurements |