First path component power based NLOS mitigation in UWB positioning system
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866911818748788736 |
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| author | Kolakowski, Marcin Modelski, Jozef |
| author_facet | Kolakowski, Marcin Modelski, Jozef |
| contents | The paper describes an NLOS (Non-Line-of-Sight) mitigation method intended for use in a UWB positioning system. In the proposed method propagation conditions between the localized objects and the anchors forming system infrastructure are classified into one of three categories: LOS (Line-of-Sight), NLOS and severe NLOS. Non-Line-of-Sight detection is conducted based on first path signal component power measurements. For each of the categories, average NLOS inducted time of arrival bias and bias standard deviation have been estimated based on results gathered during a measurement campaign conducted in a fully furnished apartment. To locate a tag, an EKF (Extended Kalman Filter) based algorithm is used. The proposed method of NLOS mitigation consists in correcting measurement results obtained in NLOS conditions and lowering their significance in a tag position estimation process. The paper includes the description of the method and the results of the conducted experiments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_19706 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | First path component power based NLOS mitigation in UWB positioning system Kolakowski, Marcin Modelski, Jozef Signal Processing Machine Learning The paper describes an NLOS (Non-Line-of-Sight) mitigation method intended for use in a UWB positioning system. In the proposed method propagation conditions between the localized objects and the anchors forming system infrastructure are classified into one of three categories: LOS (Line-of-Sight), NLOS and severe NLOS. Non-Line-of-Sight detection is conducted based on first path signal component power measurements. For each of the categories, average NLOS inducted time of arrival bias and bias standard deviation have been estimated based on results gathered during a measurement campaign conducted in a fully furnished apartment. To locate a tag, an EKF (Extended Kalman Filter) based algorithm is used. The proposed method of NLOS mitigation consists in correcting measurement results obtained in NLOS conditions and lowering their significance in a tag position estimation process. The paper includes the description of the method and the results of the conducted experiments. |
| title | First path component power based NLOS mitigation in UWB positioning system |
| topic | Signal Processing Machine Learning |
| url | https://arxiv.org/abs/2403.19706 |