Utilizing acceleration measurements to improve TDOA based localization
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916183739990016 |
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| author | Kolakowski, Marcin |
| author_facet | Kolakowski, Marcin |
| contents | In this paper localization using UWB positioning system and an inertial unit containing a single accelerometer is considered. The main part of the paper describes a novel algorithm for person localization. The algorithm is based on modified Extended Kalman Filter and utilizes TDOA (Time Difference of Arrival) results obtained from UWB system and results of acceleration measurement performed by the localized tag device. The proposed algorithm has been experimentally investigated through simulation and experiments. The results are included in the paper. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_19865 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Utilizing acceleration measurements to improve TDOA based localization Kolakowski, Marcin Signal Processing In this paper localization using UWB positioning system and an inertial unit containing a single accelerometer is considered. The main part of the paper describes a novel algorithm for person localization. The algorithm is based on modified Extended Kalman Filter and utilizes TDOA (Time Difference of Arrival) results obtained from UWB system and results of acceleration measurement performed by the localized tag device. The proposed algorithm has been experimentally investigated through simulation and experiments. The results are included in the paper. |
| title | Utilizing acceleration measurements to improve TDOA based localization |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2403.19865 |