Abstract
A novel mobile localization algorithm under non-line-of-sight (NLoS) conditions involving at most two base stations (BS) is presented. By using such a small number of BSs, the proposed technique avoids problems related to weak mobile hearability and excessive network messaging overload. Based on a scattering model, the NLoS hybrid approximate maximum likelihood (NLoS HAML) approach presented herein estimates the distances between the mobile station (MS) and the scatterers through the measured hybrid time-of-arrival/angle-of-arrival (ToA/AoA) statistics. Then, it matches the calculated distances to a known scatterers’ distribution in a maximum likelihood (ML) sense. Numerical results prove that the proposed algorithm outperforms previous methods by providing an accuracy enhancement that reaches 60%. It is also shown that the performance enhancement provided by the proposed algorithm is maximized when the adequate scatterers distribution is adopted.
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Zhaounia, M., Landolsi, M.A. & Bouallegue, R. Mobile Localization Under Non-Line-of-Sight Conditions Using Scattering Information. Int J Wireless Inf Networks 17, 1–10 (2010). https://doi.org/10.1007/s10776-010-0117-x
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DOI: https://doi.org/10.1007/s10776-010-0117-x