Abstract
This paper deals with multipath-based positioning and tracking in off-body channels. An analysis of the effects introduced by the human body and the implications on positioning and tracking is presented based on channel measurements obtained in an indoor scenario. It shows the influence of the radio signal bandwidth on the human body induced field of view (FOV) and the number of multipath components (MPCs) detected and estimated by a deterministic maximum likelihood (ML) algorithm. A multipath-based positioning and tracking algorithm is proposed that associates these estimated MPC parameters with floor plan features and exploits a human body-dependent FOV function. The proposed algorithm is able to provide accurate position estimates even for an off-body radio channel in a multipath-prone environment with the signal bandwidth found to be a limiting factor.
| Original language | English |
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| Title of host publication | 2022 16th European Conference on Antennas and Propagation (EuCAP) |
| Place of Publication | Madrid, Spain |
| Pages | 1-5 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 1 May 2022 |
| Event | 16th European Conference on Antennas and Propagation: EuCAP 2022 - Madrid, Spain Duration: 27 Mar 2022 → 1 Apr 2022 |
Conference
| Conference | 16th European Conference on Antennas and Propagation |
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| Abbreviated title | EuCAP 2022 |
| Country/Territory | Spain |
| City | Madrid |
| Period | 27/03/22 → 1/04/22 |