Controlling AoA Estimation Errors in Rician Fading via Measurement Quality Classification
Angle of Arrival (AoA) estimation plays a crucial role in modern positioning systems but is often affected by errors in multipath channels. Existing methods typically lack a direct mechanism to assess the quality of the estimates, while full channel estimation using channel sounders is computational...
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| Format: | Article |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11037416/ |
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| author | Pedro Lemos Glauber Brante Ohara Kerusauskas Rayel Richard Demo Souza |
| author_facet | Pedro Lemos Glauber Brante Ohara Kerusauskas Rayel Richard Demo Souza |
| author_sort | Pedro Lemos |
| collection | DOAJ |
| description | Angle of Arrival (AoA) estimation plays a crucial role in modern positioning systems but is often affected by errors in multipath channels. Existing methods typically lack a direct mechanism to assess the quality of the estimates, while full channel estimation using channel sounders is computationally expensive and impractical for many applications. To address this challenge, we propose a classification method that leverages frequency smoothing and the estimated Rician K-factor to evaluate AoA measurements. The algorithm discards estimates with low precision, thereby reducing the mean AoA error and achieving the stringent accuracy required for indoor positioning. Simulation results demonstrate that the proposed method significantly improves the AoA error statistics and effectively controls the maximum estimation error. |
| format | Article |
| id | doaj-art-a8f8c571155c4a989e99ed1de14ee9f3 |
| institution | Matheson Library |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-a8f8c571155c4a989e99ed1de14ee9f32025-06-26T23:00:55ZengIEEEIEEE Access2169-35362025-01-011310737710738510.1109/ACCESS.2025.358027311037416Controlling AoA Estimation Errors in Rician Fading via Measurement Quality ClassificationPedro Lemos0https://orcid.org/0009-0002-0241-4998Glauber Brante1https://orcid.org/0000-0001-6006-4274Ohara Kerusauskas Rayel2https://orcid.org/0000-0002-9543-9811Richard Demo Souza3https://orcid.org/0000-0002-7389-6245Federal University of Santa Catarina, Florianópolis, Santa Catarina, BrazilFederal University of Technology-Paraná, Curitiba, Paraná, BrazilFederal University of Technology-Paraná, Curitiba, Paraná, BrazilFederal University of Santa Catarina, Florianópolis, Santa Catarina, BrazilAngle of Arrival (AoA) estimation plays a crucial role in modern positioning systems but is often affected by errors in multipath channels. Existing methods typically lack a direct mechanism to assess the quality of the estimates, while full channel estimation using channel sounders is computationally expensive and impractical for many applications. To address this challenge, we propose a classification method that leverages frequency smoothing and the estimated Rician K-factor to evaluate AoA measurements. The algorithm discards estimates with low precision, thereby reducing the mean AoA error and achieving the stringent accuracy required for indoor positioning. Simulation results demonstrate that the proposed method significantly improves the AoA error statistics and effectively controls the maximum estimation error.https://ieeexplore.ieee.org/document/11037416/Direction of arrivalchannel estimationclassificationpositioning |
| spellingShingle | Pedro Lemos Glauber Brante Ohara Kerusauskas Rayel Richard Demo Souza Controlling AoA Estimation Errors in Rician Fading via Measurement Quality Classification IEEE Access Direction of arrival channel estimation classification positioning |
| title | Controlling AoA Estimation Errors in Rician Fading via Measurement Quality Classification |
| title_full | Controlling AoA Estimation Errors in Rician Fading via Measurement Quality Classification |
| title_fullStr | Controlling AoA Estimation Errors in Rician Fading via Measurement Quality Classification |
| title_full_unstemmed | Controlling AoA Estimation Errors in Rician Fading via Measurement Quality Classification |
| title_short | Controlling AoA Estimation Errors in Rician Fading via Measurement Quality Classification |
| title_sort | controlling aoa estimation errors in rician fading via measurement quality classification |
| topic | Direction of arrival channel estimation classification positioning |
| url | https://ieeexplore.ieee.org/document/11037416/ |
| work_keys_str_mv | AT pedrolemos controllingaoaestimationerrorsinricianfadingviameasurementqualityclassification AT glauberbrante controllingaoaestimationerrorsinricianfadingviameasurementqualityclassification AT oharakerusauskasrayel controllingaoaestimationerrorsinricianfadingviameasurementqualityclassification AT richarddemosouza controllingaoaestimationerrorsinricianfadingviameasurementqualityclassification |