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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-01-01
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| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-06462-y |
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| Summary: | 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. |
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| ISSN: | 3004-9261 |