Multipath-Based Localization and Tracking Considering Off-Body Channel Effects

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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 languageEnglish
Title of host publication2022 16th European Conference on Antennas and Propagation (EuCAP)
Place of PublicationMadrid, Spain
Number of pages5
Publication statusPublished - 1 May 2022
Event16th European Conference on Antennas and Propagation: EuCAP 2022 - Madrid, Spain
Duration: 27 Mar 20221 Apr 2022


Conference16th European Conference on Antennas and Propagation
Abbreviated titleEuCAP 2022


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